Find Your Dream Data Science Job in India

Key Responsibilities:

Leadership and Team Management:

• Lead, mentor, and develop a team of data scientists.
• Foster a culture of innovation, collaboration, and continuous learning.
• Set clear goals and performance expectations for the team.

Strategy and Vision:

• Define and implement the data science strategy aligned with the company's objectives.
• Identify and prioritize data science projects that drive business value.
• Stay abreast of industry trends and emerging technologies to keep the organization at the forefront of data science.

Technical Expertise:

• Oversee the development and deployment of machine learning models and algorithms.
• Ensure best practices in data modeling, coding, and experimental design.
• Provide technical guidance on complex data science projects.

Collaboration and Communication:

• Work closely with business leaders to understand their needs and translate them into data science initiatives.
• Communicate findings and recommendations to both technical and non-technical stakeholders.
• Collaborate with data engineering, IT, and other departments to ensure data availability and integrity.

Project Management:

• Manage multiple data science projects, ensuring timely and successful delivery.
• Allocate resources effectively and balance team workloads.
• Monitor project progress and make adjustments as needed.

Performance Measurement:

• Develop metrics to measure the impact and effectiveness of data science initiatives.
• Continuously evaluate and refine models and strategies based on performance data.
• Report on key performance indicators to senior management.

Qualifications:

• Education:
• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Master's or Ph.D. preferred.
• Experience:
• 7+ years of experience in data science or a related field.
• 3+ years in a leadership or managerial role within a data science team.
• Proven track record of delivering impactful data science solutions in a business context.
• Technical Skills:
• Expertise in statistical analysis, machine learning, and predictive modeling.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure).
• Soft Skills:
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to translate complex technical concepts into actionable business insights.
• Strong organizational and project management skills.

Preferred Qualifications:

• Experience in specific industry or domain relevant to the company .
• Knowledge of deep learning, NLP, or other advanced AI techniques.
• Experience with Agile methodologies and project management tools.

Role: Data Science Solution Architect

Experience: 12-15 Years

Location: Hyderabad / Mumbai

about alliantgroup

alliantgroupis a global professional services firm (PSF) that is focused on providing business consulting, digital transformation, taxation (Credits and Incentives), and accounting services. The purpose of the firm is to strengthen American businesses. The company was founded in 2002 and is headquartered in Houston, Texas. In the US we have offices in Austin, Boston, Chicago, Indianapolis, New York, Irvine, Sacramento, and Washington, D.C. In UK we have offices in London and Bristol. We also have an office in Hyderabad, India.

More about our culture and why we love alliantgroup

alliantTALENT:

alliantTALENT subsidiary of alliantgroup was incorporated several years back in Hyderabad. It has over 1,000 employees who provide professional services to US and UK clients. Our Core Values that focus on Exceptional Client Experience, High Performance, and People development set us apart from other PSFs.

At alliantTalent, professionals get an exceptional opportunity to work directly with US and UK client. This is also one of our key differentiating factors. They also get the opportunity to work on cross-service line projects, enabling them to become more rounded professionals.

We are seeking a seasoned Data Science Solution Architect to lead the design and delivery of advanced analytics and AI solutions. The role requires deep expertise in predictive modeling, recommendation systems, and deep learning, combined with strong architectural acumen and stakeholder engagement capabilities.

This position sits at the intersection of strategy, architecture, and hands-on technical leadership.

What will be your responsibilities:

Solution Architecture & Design

• Define end-to-end data science and AI solution architectures.
• Translate business problems into analytical frameworks and scalable ML architectures.
• Design real-time and batch predictive systems across cloud-native environments.
• Architect enterprise-grade recommendation engines (collaborative, content-based, hybrid).

Advanced Modeling & AI

• Lead development of:
• Regression, classification, and time-series forecasting models
• Propensity, churn, demand forecasting, and risk models
• Recommendation systems (matrix factorization, deep learning-based, graph-based)
• Deep learning models (CNNs, RNNs, Transformers)
• Apply MLOps best practices for production deployment and monitoring.

Technical Leadership

• Provide technical governance across AI programs.
• Establish model validation, fairness, explainability, and performance benchmarking frameworks.
• Mentor data scientists and ML engineers.
• Conduct architecture reviews and code reviews.

Cloud & MLOps

• Architect ML lifecycle pipelines on Azure / AWS / GCP.
• Implement CI/CD for ML, feature stores, model registries.
• Optimize model performance and cloud cost.

Stakeholder & Consulting Engagement

• Engage CXO and business stakeholders to define AI roadmaps.
• Develop solution proposals, estimation models, and capability decks.
• Lead PoCs and scale them into enterprise solutions.

What are we looking for:

Technical:

• Strong expertise in:
• Python (NumPy, Pandas, Scikit-learn)
• TensorFlow / PyTorch
• ML frameworks for recommendation systems
• SQL and distributed computing (Spark)
• Experience with:
• Azure ML / Databricks / AWS SageMaker
• Model explainability (SHAP, LIME)
• Feature engineering and feature stores
• Understanding of:
• Statistical modeling and hypothesis testing
• Optimization techniques
• Graph analytics (preferred)
• Architecture
• Experience designing scalable ML systems.
• Exposure to microservices and API-based model serving.
• Familiarity with data platform architecture (Lakehouse, data pipelines).

Experience:

• 12-15 years in analytics, data science, or AI.
• 4+ years in solution architecture or technical leadership role.
• Proven record of deploying production-grade ML systems

What we offer:

With us, there are always opportunities to break new ground. We empower you to take the organization to the next level with the versatile experience that you bring in. We trust you with responsibility early on and support you in all ways to make this organization as trusted partner to the customers and a great place to work for the employees.

Join us and bring your curiosity to life!

Job Title: Data Science Trainer - Industry Professional

Location: Visakhapatnam - Onsite

Timing: Evening 6 PM to 9 PM

Company Description

Elaf Group is a technology-focused organisation based in Visakhapatnam, specialising in training programs for MERN Full-Stack Developers, Data Scientists, and AI professionals. The group emphasises hands-on learning through small, mentor-led cohorts and practical projects aligned with local industries such as ports, logistics, tourism, and retail. Learners benefit from industry-relevant skills instead of just certifications. Elaf Group also offers 100% internship and job assistance through its comprehensive job assistance programs.

Role Overview:

We are looking for a working Data Scientist who can train students through real-world, hands-on projects. This is not a theoretical teaching role. The candidate must actively work in the Data Science domain and bring practical industry experience into the classroom.

Key Responsibilities:

• Deliver hands-on training in Python for Data Science
• Teach Numpy, Pandas, Matplotlib, Seaborn
• Teach SQL for data analysis
• Teach Statistics and Probability
• Teach Machine Learning algorithms and model evaluation
• Guide students in real-world capstone projects
• Conduct mock interviews and resume reviews
• Align curriculum with current industry practices

Mandatory Requirements:

• Currently working as a Data Scientist, Data Analyst, or ML Engineer
• Minimum 2+ years of industry experience
• Strong knowledge of Scikit-learn
• Experience working on real business datasets
• Ability to explain concepts clearly
• Available for evening teaching

Preferred:

• Experience with Flask or FastAPI
• Exposure to AWS, Azure, or GCP
• Mentoring experience

• Statistics , Machine learning and Predictive analytics - ability to analyse data and build core predictive models.
• Python - strong hands-on skills with pandas, NumPy, scikit learn.
• SQL - writing efficient queries for real-world data extraction.
• GenAI skills : Some knowledge in Generative AI space
• Business Problem-Solving - translating business questions into analytical solutions.

5 Good to Have Skills

• Cloud/Data Platforms - experience with AWS, Azure, GCP, or Spark.
• MLOps - basic familiarity with model deployment and monitoring.
• Visualization Tools - Power BI/Tableau for story-driven dashboards.
• Domain Knowledge - in a specific industry (finance, HR, marketing, etc.).

• Statistics , Machine learning and Predictive analytics - ability to analyse data and build core predictive models.
• Python - strong hands-on skills with pandas, NumPy, scikit learn.
• SQL - writing efficient queries for real-world data extraction.
• GenAI skills : Some knowledge in Generative AI space
• Business Problem-Solving - translating business questions into analytical solutions.

5 Good to Have Skills

• Cloud/Data Platforms - experience with AWS, Azure, GCP, or Spark.
• MLOps - basic familiarity with model deployment and monitoring.
• Visualization Tools - Power BI/Tableau for story-driven dashboards.
• Domain Knowledge - in a specific industry (finance, HR, marketing, etc.).

Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL E, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

Roles & Responsibilities:

• Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
• Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL E, Stable Diffusion, GANs) for integration into client systems and applications.
• Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
• Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.
• Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
• Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.
• Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
• Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
• Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.

Professional & Technical Skills:

• 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
• Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Ability to build and optimize data pipelines for generative AI models.
• Knowledge of security best practices and ensuring compliance with regulatory standards.
• Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information:

• Experience with large-scale data processing and expertise in NLP or computer vision.
• Contributions to open-source AI/ML projects.
• Experience with cloud integrations, big data technologies, and performance optimization.
• Familiarity with security standards and regulatory compliance in AI solutions.

Must have skills: Python Programming, Machine Learning, Statistical Analysis, Data Science, Generative AI (GPT, DALL E, GANs), Cloud (AWS/Azure/GCP), Model Deployment, API Development, Docker/Kubernetes

Good to have skills: PyTorch, TensorFlow, Large-Scale Data Processing, Cloud Integrations, NLP, Computer Vision, Security Best Practices, Performance Optimization, Open-Source Contributions

Roles & Responsibilities:

• Collaboration: Work closely with product managers, engineers, and other stakeholders to understand requirements and deliver impactful AI solutions.
• Model Deployment: Containerize and deploy generative AI models using tools like Docker, Kubernetes, and cloud platforms (e.g., AWS, Azure, Google Cloud).
• API Development: Design, develop, and deploy robust APIs to expose generative AI models (e.g., GPT, DALL E, Stable Diffusion, GANs) for integration into client systems and applications.
• Client Collaboration: Work closely with clients to understand their technical requirements and deliver tailored API solutions that meet their business needs.
• Generative AI Model Integration: Integrate generative AI models into existing workflows, applications, and platforms via APIs.
• Performance Optimization: Optimize API performance for latency, scalability, and reliability, ensuring seamless user experiences.
• Data Pipeline Development: Build and maintain data pipelines to support real-time or batch processing for generative AI models.
• Security and Compliance: Implement security best practices and ensure APIs comply with data privacy and regulatory standards.
• Documentation: Create comprehensive API documentation, including usage examples, SDKs, and troubleshooting guides.
• Testing and Monitoring: Develop automated testing frameworks and monitoring systems to ensure API reliability and performance.
• Stay Updated: Keep up with the latest advancements in generative AI, API development, and cloud technologies to bring innovative solutions to clients.

Professional & Technical Skills:

• 3+ years of experience in Data Science and Machine Learning with a focus on Generative AI models (LLMs).
• Strong proficiency in Python programming and experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Expertise in API Development and deployment, with hands-on experience with Docker, Kubernetes, and cloud platforms (AWS, GCP, Azure).
• Ability to build and optimize data pipelines for generative AI models.
• Knowledge of security best practices and ensuring compliance with regulatory standards.
• Strong problem-solving, analytical, and creative thinking skills to design and implement innovative solutions.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.

Additional Information:

• Experience with large-scale data processing and expertise in NLP or computer vision.
• Contributions to open-source AI/ML projects.
• Experience with cloud integrations, big data technologies, and performance optimization.
• Familiarity with security standards and regulatory compliance in AI solutions.

Location: On-site / Hybrid

Experience Required:4-7 years (minimum 3+ years in training/mentoring preferred)

Employment Type: Full-Time

We are looking for an experienced Data Science Trainer who is passionate about teaching, mentoring, and shaping industry-ready professionals. The ideal candidate should have strong hands-on experience in Data Science and Machine Learning, along with the ability to explain complex concepts in a simple, practical manner.

This role involves live training delivery, curriculum execution, doubt resolution, project guidance, and learner success ownership.

Training & Delivery

• Deliver live instructor-led sessions on Data Science concepts for working professionals and freshers
• Teach core topics including:
• Python for Data Science
• Statistics & Probability
• Data Analysis (NumPy, Pandas, Matplotlib, Seaborn)
• Machine Learning (Supervised & Unsupervised)
• Model evaluation & tuning
• Introduction to Deep Learning (optional but preferred)
• Conduct hands-on labs, case studies, and real-world projects

Curriculum & Content

• Follow and improve existing curriculum to match industry standards
• Create assignments, quizzes, mini-projects, and capstone projects
• Share best practices, real industry use cases, and problem-solving approaches

Student Engagement & Mentorship

• Resolve student doubts during and post sessions
• Mentor learners on projects, GitHub profiles, and career guidance
• Track learner progress and provide feedback for improvement

Quality & Collaboration

• Maintain high training quality and session discipline
• Work closely with operations, placement, and academic teams
• Collect feedback and continuously improve training effectiveness

Technical Skills

• Strong proficiency in Python
• Solid understanding of Statistics, Probability, and Linear Algebra
• Hands-on experience with Machine Learning algorithms
• Experience with data preprocessing, feature engineering, and model evaluation
• Familiarity with tools like Jupyter, Git, SQL
• Exposure to Deep Learning / NLP / Computer Vision is a plus

Training & Communication

• Excellent communication and presentation skills
• Ability to explain complex concepts in a simple and structured way
• Prior experience as a trainer, mentor, or teaching assistant is highly preferred

• Bachelor's / Master's degree in Computer Science, Data Science, Engineering, or related field
• 4+ years of industry experience in Data Science / Analytics
• 3+ years of training or mentoring experience preferred

Job Title: Gen AI Senior Developer/Architect

Location: Noida

Job Type: Full-time

Experience: 5+ years

Industry: IT Services & Analytics

Job Description

Your Role and Responsibilities

• Design and implement scalable Gen AI solutions that align with business objectives.
• B.Tech/BE Computer Science degree would be needed.
• Develop system architectures for real-time and batch processing of AI models.
• Ensure seamless integration of Gen AI frameworks with existing systems.
• Lead the creation, training, and optimization of machine learning models.
• Oversee the deployment of models to production environments.
• Ensure models are explainable, robust, and compliant with ethical guidelines.
• Stay abreast of the latest advancements in AI-ML technologies and best practices.
• Evaluate and recommend tools, frameworks, and platforms for AI-ML development.
• Guide and mentor engineering teams on AI-ML methodologies and practices.
• Work closely with stakeholders to identify AI-ML use cases and define project requirements.
• Translate business needs into technical specifications.
• Present architectural solutions and insights to technical and non-technical audiences.
• Ensure the scalability, reliability, and maintainability of AI systems.
• Monitor and address performance issues in deployed models.
• Establish and maintain CI/CD pipelines for AI-ML workflows.

Required Technical and Professional Expertise

• 8+ years of Data science experience.
• Strong expertise and deep understanding of machine learning.
• Strong understanding of SQL & Python. Knowledge of Power BI or Tableau is a plus
• Exposure to Industry specific (CPG, Manufacturing) use cases is required
• Strong client-facing skills
• Must be organized and detail oriented.
• Excellent communication and interpersonal skills.

Preferred Technical and Professional Experience

• Experience in leading, mentoring, and scaling AI/ML teams (Data Scientists, ML Engineers, and Research Scientists).
• Experience in AI-driven product innovation and strategic decision-making.
• Active participation in AI communities, open-source projects, and knowledge sharing.
• Familiarity with serverless AI deployments, API design, and scalable model serving (FastAPI, Flask, Triton Inference Server).
• Hands-on experience with Cloud Platforms (AWS, GCP, Azure) for ML model deployment.

About Polestar:

As a data analytics and enterprise planning powerhouse, Polestar Solutions helps its customers bring out the most sophisticated insights from their data in a value-oriented manner. From analytics foundation to analytics innovation initiatives, we offer a comprehensive range of services that help businesses succeed with data.

We have a geographic presence in the United States (Dallas, Manhattan, New York, Delaware), UK(London) & India (Delhi-NCR, Mumbai, Bangalore & Kolkata) and have 600+ people strong world-class team. We are growing at a rapid pace and plan to double our growth each year. This provides immense growth and learning opportunities to those who are choosing to work with Polestar. We hire from most of the Premier Undergrad and MBA institutes. We are serving customers across 20+ countries. Our expertise and deep passion for what we do has brought us many accolades.

The list includes: -

• Recognized as the Top 50 Companies for Data Scientists in 2023 by AIM.
• Financial Times awarded Polestar as High-Growth Companies across Asia-Pacific for a 5th time in a row in 2023.
• Featured on the Economic Times India's Growth Champions in FY2023.
• Polestar Solutions Selected as a 2022 Red Herring Global Companies.
• Top Data Science Providers in India 2023: Penetration and Maturity (PeMa) Quadrant.
• India's most promising data science companies in 2022 by Analytics Insight.
• Featured on Forrester's Now Tech: Customer Analytics Service Providers Report Q2, 2021.
• Recognized as Anaplan's India RSI Partner of the Year FY21.
• Elite Qlik Partner and a member of the 'Qlik Partner Advisory Council' & Microsoft Gold Partners for Data & Cloud Platforms Culture at Polestar.

We have one of the most progressive people's practices which are all aimed at enabling fast paced growth for those who deserve it.

Good day,

We have an opportunity for Lead AI/ML/Data Science AIOps/MlOps/LLMOps -

Job Role: Lead AI/ML/Data Science AIOps/MlOps/LLMOps

Job Location: Bangalore

Experience- 7 Years to 15 Years.

Notice Period: Upto 30 Days.

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron' s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+ and has 60 offices in 22 countries within key global markets. For more information on the company, please visit our website or LinkedIn community.

Diversity, Equity, and Inclusion

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and an affirmative-action employer. Our Diversity, Equity, and Inclusion (DEI) initiative 'Same Difference' is committed to fostering an inclusive culture - promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant's gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Job Description:

Job Title: Lead AI/ML/Data Science (AIOps/MlOps/LLMOps)

Overall Responsibilities:

• Lead AI/ML/Data Science projects for Synechron's clients and ensure successful delivery
• Mentor and guide junior AI/ML/Data Science team members
• Collaborate with cross-functional teams and provide subject matter expertise in AI/ML/Data Science
• Stay updated with latest AI/ML/Data Science trends and technologies
• Identify and evaluate new business opportunities in AI/ML/Data Science
• AIOps/MlOps/LLMOps

Skills Required:

• Strong hands-on experience in AI/ML/Data Science, including machine learning algorithms, deep learning, NLP, computer vision, etc.
• Knowledge of programming languages such as Python, R, SQL, etc.
• Experience with AI/ML/Data Science tools and frameworks such as TensorFlow, PyTorch, etc.
• Excellent problem-solving skills and ability to find creative solutions to complex data science problems.
• Strong communication and interpersonal skills to effectively collaborate with cross-functional teams and clients

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field

If you are passionate about implementing scalable Solution in AI/ML/Data Science have the required skills, we look forward to your application.

Please apply Here -

Kind Regards,

Vivek Kumar Singh

Experience : 10 - 15 Years

Location : Berngaluru / Chennai / Pune

The Data Science Consultant will lead the design, development, and deployment of advanced data science solutions across business domains, with a strong focus on operational efficiency, forecasting, and AI integration. This role demands a blend of technical expertise, strategic thinking, and stakeholder collaboration to deliver measurable business impact through

data-driven innovation.

Work and Technical Experience

Essential Skills:

• Strong proficiency in Python and PySpark for data manipulation and modeling.

• Experience with deep learning frameworks such as TensorFlow and PyTorch.

• Hands-on experience with CNNs and other advanced ML techniques for forecasting and anomaly detection.

• Expertise in building and deploying models in production environments.

• Familiarity with distributed computing tools (e.g., Spark, Databricks).

• Knowledge of AI governance and responsible AI frameworks.

• Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/Kubernetes).

Desirable Skills:

• Experience with GenAI platforms and LLMOps tools (e.g., LangChain, MLflow).

• Understanding of vector databases and RAG pipelines.

• Exposure to CI/CD pipelines and DevOps practices.

• Ability to conduct market research and contribute to product strategy.

• Experience in supply chain or operations domain analytics.

Looking for Data Science / AI-ML professionals to join exciting, high impact projects. Immediate opportunities for skilled candidates who can attend an in person interview in Pune this Saturday.

Interview Mode: Face to Face

Interview Day: Saturday, 14-Feb-2026

Location: Pune, Maharashtra

Positions:

Data Scientist

AI / Machine Learning Engineer

Key Skills (Any of the below):

• Machine Learning, Deep Learning, NLP
• Generative AI, LLMs, Prompt Engineering, RAG
• Python, SQL, PySpark
• Cloud Platforms (Azure / AWS / GCP)
• MLOps, Model Deployment & Monitoring
• Data Engineering & Advanced Analytics

Work Location: PAN India

Experience: 4 - 14 yrs

If interested please share your updated resume with:

• Total Experience:
• Relevant Experience:
• Current CTC Expected CTC:
• Notice Period:
• Are you willing to attend F2F interview on Saturday, 14-Feb-2026: Yes/No

Job Summary:

The Specialist - Software Development (Artificial Intelligence) leads the design, development, and implementation of AI and machine learning solutions that address complex business challenges. This role requires expertise in AI algorithms, model development, and software engineering best practices. The individual will work closely with cross-functional teams to deliver intelligent systems that enhance business operations and decision-making.

Key Responsibilities:

• AI Solution Design & Development:

o Lead the development of AI-driven applications and platforms using machine learning, deep learning, and NLP techniques.

o Design, train, and optimize machine learning models using frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

o Implement advanced algorithms for supervised and unsupervised learning, reinforcement learning, and computer vision.

• Software Development & Integration:

o Develop scalable AI models and integrate them into software applications using languages such as Python, R, or Java.

o Build APIs and microservices to enable the deployment of AI models in cloud environments or on-premise systems.

o Ensure that AI models are integrated with back-end systems, databases, and other business applications.

• Data Management & Preprocessing:

o Collaborate with data scientists and data engineers to gather, preprocess, and analyze large datasets.

o Develop data pipelines to ensure the continuous availability of clean, structured data for model training and evaluation.

o Implement feature engineering techniques to enhance the accuracy and performance of machine learning models.

• AI Model Evaluation & Optimization:

o Regularly evaluate AI models using performance metrics (e.g., precision, recall, F1 score) and fine-tune them to improve accuracy.

o Perform hyperparameter tuning and cross-validation to ensure robust model performance.

o Implement methods for model explainability and transparency (e.g., LIME, SHAP) to ensure trustworthiness in AI decisions.

• AI Strategy & Leadership:

o Collaborate with business stakeholders to identify opportunities for AI adoption and develop project roadmaps.

o Provide technical leadership and mentorship to junior AI developers and data scientists, ensuring adherence to best practices in AI development.

o Stay current with AI trends and research, introducing innovative techniques and tools to the team.

• Security & Ethical Considerations:

o Ensure AI models comply with ethical guidelines, including fairness, accountability, and transparency.

o Implement security measures to protect sensitive data and AI models from vulnerabilities and attacks.

o Monitor the performance of AI systems in production, ensuring they operate within ethical and legal boundaries.

• Collaboration & Cross-Functional Support:

o Collaborate with DevOps teams to ensure AI models are deployed efficiently in production environments.

o Work closely with product managers, business analysts, and stakeholders to understand requirements and align AI solutions with business needs.

o Participate in Agile ceremonies, including sprint planning and retrospectives, to ensure timely delivery of AI projects.

• Continuous Improvement & Research:

o Conduct research and stay updated with the latest developments in AI and machine learning technologies.

o Evaluate new tools, libraries, and methodologies to improve the efficiency and accuracy of AI model development.

o Drive continuous improvement initiatives to enhance the scalability and robustness of AI systems.

Required Skills & Qualifications:

• Bachelor's degree in computer science, Data Science, Artificial Intelligence, or related field.

• 5+ years of experience in software development with a strong focus on AI and machine learning.

• Expertise in AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).

• Proficiency in programming languages such as Python, R, or Java, and familiarity with AI-related tools (e.g., Jupyter Notebooks, MLflow).

• Strong knowledge of data science and machine learning algorithms, including regression, classification, clustering, and deep learning models.

• Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI models and managing data pipelines.

• Strong understanding of data structures, databases, and large-scale data processing technologies (e.g., Hadoop, Spark).

• Familiarity with Agile development methodologies and version control systems (Git).

Preferred Qualifications:

• Master's or PhD in Artificial Intelligence, Machine Learning, or related field.

• Experience with natural language processing (NLP) techniques (e.g., BERT, GPT, LSTM, Transformer models).

• Knowledge of computer vision technologies (e.g., CNNs, OpenCV).

• Familiarity with edge computing and deploying AI models on IoT devices.

• Certification in AI/ML or cloud platforms (e.g., AWS Certified Machine Learning, Google Professional Data Engineer).

Data Science - 10 - 15 YEARS

Work Model: Hybrid - 3 days mandatory to office in a week

Work location - Major locations ( Gurugram, Noida, Chennai, Bangalore, Kolkata, Pune)

Responsibilities

• Develop transformative AI/ML solutions to address our clients' business requirements
• and challenges
• Project Delivery - This would entail successful delivery of projects involving data Preprocessing,
• Model Training and Evaluation, Parameter Tuning
• Manage Stakeholder/Customer Expectations
• Project Blue Printing and Project Documentation
• Creating Project Plan
• Understand and research cutting edge industrial and academic developments in AI/ML
• with NLP/NLU applications in diverse industries such as CPG, Finance etc.
• Conceptualize, Design, build and develop solution algorithms which demonstrate the
• minimum required functionality within tight timelines
• Interact with clients to collect, synthesize, and propose requirements and create effective
• analytics/text mining roadmap.
• Work with digital development teams to integrate and transform these algorithms into
• production quality applications
• Do applied research on a wide array of text analytics and machine learning projects, file
• patents and publish the papers
• Collaborate with service line teams to design, implement and manage Gen-AI solution
• Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop
• innovative AI solutions.
• Designing, developing, and implementing solutions tailored to meet client needs.
• Understanding business requirements and translating them into technical solutions using GEN AI
• Works closely with service line teams to design, implement, and manage Generative AI solutions.
• ML/LLM Ops knowledge.
• o Preferred atleast 1 deployment experience.
• Experience with one of the cloud computing platforms

Qualifications we seek in you!

• Minimum Qualifications / Skills
• MS in Computer Science, Information systems, or Computer engineering
• Systems Engineering with relevant experience in Text Mining / Natural Language
• Processing (NLP) tools, Data sciences, Big Data and algorithms
• Familiarity with Generative AI technologies, Design and Implement GenAI Solutions
• ML/LLM Ops knowledge.
• o Preferred atleast 1 deployment experience.
• Experience with one of the cloud computing platforms

Technology

• Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais,
• StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS
• LUIS
• Exposure to Statistical Toolkits such as, Weka, S-Plus, Matlab, SAS-Text Miner
• Very good python programming skills. Java programming skills a plus
• GenAI Tools
• Certifications in AI/ML or GenAI (optional to have certification)

We are hiring for Data Science Senior Manager for a leading client based in Gurugram location

Exp : 11-15yrs

Tech Stack :70%hands (technical side)+Data science+AI+SQL+AWS

Mode: Hybrid

Roles and responsibilities

• Lead and develop high-performing teams in designing, building, and scaling robust data engineering and backend systems using Python, SQL, and modern data platforms (e.g., Snowflake, AWS Glue, Lambda).
• Design and implement AI-driven analytics solutions, apply advanced machine learning and GenAI techniques such as prompt engineering, LangChain integration, and agentic AI frameworks leveraging OpenAI and similar platforms.
• Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making.
• Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives.

Job Responsibilties

• Leading and inspiring technical teams - you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts.
• Bridging strategy and execution - you can define data and AI vision while remaining hands-on in technical delivery, ensuring that architecture and solutions meet real business needs.
• Applying deep technical expertise - you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands-on experience in prompt engineering and retrieval-augmented generation (RAG) techniques.
• Designing and scaling AI solutions - you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices.
• Designing for scalability and performance - you're experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise-grade analytics.
• Driving innovation and continuous improvement - you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency.
• Simplifying complexity - you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders.
• Collaborating across disciplines - you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives.
• Coaching and capability building - you're passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning.
• Operating with agility and structure - you thrive in fast-paced, evolving environments, using agile principles to balance innovation with disciplined delivery.

Job Title: Data Science Trainer

Company: WsCube Tech

Location: Jaipur, Rajasthan

Role Type: Full-Time

Experience Required: 2+ Years (Industry or Training)

About WsCube Tech:

WsCube Tech is a Vernacular Upskilling EdTech company dedicated to creating job-ready professionals for the global workforce. Our mission is to bridge skill gaps with tech-powered career acceleration programs and impact over 100 million career aspirants in the next five years.

You can learn more about us via our website at

and YouTube channel at

About the Role:

WsCube Tech is looking for an experienced Data Science Trainer who can deliver high-quality training on Data Analytics, Machine Learning, and industry tools. The trainer should be comfortable teaching both theory and practical concepts and guiding learners toward industry readiness.

Key Responsibilities:

• Deliver training sessions on Python, SQL, Machine Learning, Statistics, and Power BI.
• Conduct classroom training, doubt-solving, and one-on-one learner mentorship.
• Prepare and update course material, assignments, assessments, and real-world projects.
• Evaluate learner performance and share structured feedback.
• Guide learners on project building, interview preparation, and industry expectations.
• Work closely with the academic team for curriculum enhancement and training quality.
• Maintain an engaging and supportive learning environment.
• Stay updated with industry trends and integrate practical examples in sessions.

Technical Skills Required:

• Strong hands-on experience with Python (NumPy, Pandas, Matplotlib, Seaborn).
• Solid understanding of Machine Learning algorithms and model building.
• Practical knowledge of SQL and relational databases.
• Experience with Power BI or Tableau for data visualization.
• Strong understanding of Statistics, EDA, Hypothesis Testing, and Data Wrangling.
• Knowledge of Deep Learning, NLP, or cloud platforms is an added advantage.

Data Science - 10 - 15 YEARS

Work Model: Hybrid - 3 days mandatory to office in a week

Work location - Major locations ( Gurugram, Noida, Chennai, Bangalore, Kolkata, Pune)

Responsibilities

• Develop transformative AI/ML solutions to address our clients' business requirements
• and challenges
• Project Delivery - This would entail successful delivery of projects involving data Preprocessing,
• Model Training and Evaluation, Parameter Tuning
• Manage Stakeholder/Customer Expectations
• Project Blue Printing and Project Documentation
• Creating Project Plan
• Understand and research cutting edge industrial and academic developments in AI/ML
• with NLP/NLU applications in diverse industries such as CPG, Finance etc.
• Conceptualize, Design, build and develop solution algorithms which demonstrate the
• minimum required functionality within tight timelines
• Interact with clients to collect, synthesize, and propose requirements and create effective
• analytics/text mining roadmap.
• Work with digital development teams to integrate and transform these algorithms into
• production quality applications
• Do applied research on a wide array of text analytics and machine learning projects, file
• patents and publish the papers
• Collaborate with service line teams to design, implement and manage Gen-AI solution
• Familiarity with generative models, prompt engineering, and fine-tuning techniques to develop
• innovative AI solutions.
• Designing, developing, and implementing solutions tailored to meet client needs.
• Understanding business requirements and translating them into technical solutions using GEN AI
• Works closely with service line teams to design, implement, and manage Generative AI solutions.
• ML/LLM Ops knowledge.
• o Preferred atleast 1 deployment experience.
• Experience with one of the cloud computing platforms

Qualifications we seek in you!

• Minimum Qualifications / Skills
• MS in Computer Science, Information systems, or Computer engineering
• Systems Engineering with relevant experience in Text Mining / Natural Language
• Processing (NLP) tools, Data sciences, Big Data and algorithms
• Familiarity with Generative AI technologies, Design and Implement GenAI Solutions
• ML/LLM Ops knowledge.
• o Preferred atleast 1 deployment experience.
• Experience with one of the cloud computing platforms

Technology

• Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais,
• StanfordNLP, GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS
• LUIS
• Exposure to Statistical Toolkits such as, Weka, S-Plus, Matlab, SAS-Text Miner
• Very good python programming skills. Java programming skills a plus
• GenAI Tools
• Certifications in AI/ML or GenAI (optional to have certification)

Role Description

We're Hiring a Advanced Data Science Associate Consultant with a minimum experience of 6 years in Design, Development, and Deployment. We are looking for a Senior Pro who has worked deeply with larger datasets, ML & AI tools, and statistics. The candidate must be able to translate business requirements into structured technical steps, build efficient and reliable data workflows, and collaborate effectively with internal and business teams. Understanding of RAG, LLM, and handling development for commercial pharmaceutical datasets shall be a big plus.

Location

The successful candidate shall be placed at Pune. It is a WFO, "No" remote work.

Key Responsibilities

• Design, develop, and maintain data processes and automation workflows us AI/ML
• Build and optimize data ingestion, transformation, and processing scripts for large-scale commercial datasets
• Deploy and manage workflows within AWS environments (S3, Lambda, Redshift, etc.)
• Translate business requirements into clear, executable technical steps and deliver production-ready processes
• Full Stack development using Angular
• Implement data quality checks, error handling, and performance optimization across workflows
• Collaborate with business analysts and data scientists to ensure alignment between business needs and data delivery
• Document processes and maintain structured repositories of scripts, jobs, and workflow logic

Required Skills and Qualifications:

• 6+ years of experience in Full-Stack Development. We can consider upto 10 years of total experience.
• Proficient in Python coding and good exposure to Python usage for data processing and automation
• Good experience in AI/ML tools, RAG, LLM models, statistics
• Full Stack Development skills with API integration & DevOps
• Ability to lead the team of 4-8 people
• Experience in developing modular, maintainable, and business-grade processes
• Strong problem-solving and debugging skills
• Good Communication skills in English - able to understand business context and translate it into actionable steps.

About Us

Terra TCC is a Technology & Sustainability company offering services in Software, Environmental consulting, and Staff Augmentation to top-notch clients. We continuously strive to help companies find the right technology, the right services and the right talent for their needs. Learn more at

Any information that is shared with us, shall be retained as per company's data privacy policy. In case you wish to revise, modify or delete any of the submitted information, please write back to us. See contact details on

Role Overview

In this role, you will build and scale the data science engine that fortifies Trust & Safety. This role focuses on designing Live-specific trust policies, real-time multi-modal moderation systems, and buyer/transaction risk frameworks to reduce UPI/BBE while enforcing seller standards across categories and markets.

You will partner closely with Product, Engineering, Payments, and Business Units, and deliver executive-ready Steerco metrics and dashboards that guide strategic decisions. This is a hands-on leadership role requiring strong analytical depth, applied ML expertise, and the ability to translate complex risk trade-offs into clear business outcomes.

Key Responsibilities

• Define Live-specific trust policies and seller standards, instrument compliance monitoring and create investigation playbooks for UPIs and cancellations by ticket value
• Partner with Product, BU, Engineering, and Payments teams on policy enforcement, remediation, and seller accountability
• Build buyer and transaction risk scoring systems beyond rules to proactively manage UPI and chargeback risk, especially in high-ASP Live flows
• Design guardrails and run experiments to reduce UPI/BBE while protecting genuine buyers, balancing trust and conversion
• Define clear trust metrics (e.g., UPI rate, BBE, false SNAD) with thresholds, review checkpoints, and quality checks
• Build leadership dashboards and scorecards with key leading and lagging indicators across markets and categories and automate regular reporting
• Conduct causal and experimental studies on payment product and policy changes to quantify lift, risk trade-offs, and buyer impact
• Design and deploy real-time moderation models for chat, audio, and video, with defined quality metrics.

Qualifications

• 9+ years of experience in Analytics / Data Science, with strong exposure to Trust & Safety, Risk, Fraud, or Marketplace Integrity.
• Proven expertise in advanced analytics, causal inference, and experimentation design
• Hands-on experience applying AI/ML to moderation, fraud/risk detection, anomaly detection, or similar domains
• Strong proficiency in SQL and Python, with experience in data for real-time and streaming data
• Experience building executive-ready dashboards and BI reporting for large-scale programs
• Solid understanding of marketplace economics, trust policies, and payments risk, with sound judgment to balance protection and growth
• Excellent problem-solving, communication, and stakeholder management skills

Preferred Skills

• Experience with real-time systems and different data formats (text, audio, video)
• Strong product sense for buyer and seller tools, trust programs, and enforcement workflows
• Ability to operate frameworks and drive measurable impact quickly at scale
• Effectively communicate insights and recommendations to senior leadership

JOB TITLE:

JOB TYPE:

LOCATION: Colombo

SUPERVISOR/MANAGER & DEPARTMENT:

MAIN DUTIES/RESPONSIBILITIES:

• Design process and credit programs for existing to bank, new to bank segments
• Design pre-approved/pre-qualified process and programs for lending credit cards to debit cards/savings account customers
• Analyze loss provisioning data to carve out segments of credit cards portfolio profitability

SKILLS & EXPERIENCE

Qualifications:

• Masters in Statistics, Economics from a reputed organization
• Experience: 8+ Years to 10 Years

Must have Skills:

• Must have working knowledge of credit cards
• Good to have knowledge of building application score, behavior score, PD, LGD, loss forecasting models
• Communication skills to explain credit policies to the Bank
• Understanding of underwriting process for various customer segments (existing to bank, new to bank, salaried/delf-employed)
• Understanding of credit line assignments for credit cards
• Exposure to bureau data (e.g., attributes, reason codes), alternative data, and identity/behavioral signals.
• Understanding of credit risk capabilities in digital journeys
• Good understanding of loss provisioning and profitability drivers of Credit Cards portfolio

We are hiring for Data Science Senior Manager for a leading client based in Gurugram location

Exp : 11-15yrs

Tech Stack :70%hands (technical side)+Data science+AI+SQL+AWS

Mode: Hybrid

Roles and responsibilities

• Lead and develop high-performing teams in designing, building, and scaling robust data engineering and backend systems using Python, SQL, and modern data platforms (e.g., Snowflake, AWS Glue, Lambda).
• Design and implement AI-driven analytics solutions, apply advanced machine learning and GenAI techniques such as prompt engineering, LangChain integration, and agentic AI frameworks leveraging OpenAI and similar platforms.
• Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making.
• Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives.

Job Responsibilties

• Leading and inspiring technical teams - you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts.
• Bridging strategy and execution - you can define data and AI vision while remaining hands-on in technical delivery, ensuring that architecture and solutions meet real business needs.
• Applying deep technical expertise - you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands-on experience in prompt engineering and retrieval-augmented generation (RAG) techniques.
• Designing and scaling AI solutions - you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices.
• Designing for scalability and performance - you're experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise-grade analytics.
• Driving innovation and continuous improvement - you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency.
• Simplifying complexity - you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders.
• Collaborating across disciplines - you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives.
• Coaching and capability building - you're passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning.
• Operating with agility and structure - you thrive in fast-paced, evolving environments, using agile principles to balance innovation with disciplined delivery.

About Fleet Management

Our 30-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at Fleet, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background.

We are looking for individuals who are ambitious about making a strong contribution to Fleet's short and long-term sustainable growth - whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

Key Roles and Responsibilities

As a Data Science Analyst, your typical day will include:

Charting the Course: Development of the NOVA Analytics Platform

• Manage analytics projects from concept to project planning, delivery, and completion, adhering to the Analytics roadmap

• Source, cleanse, and transform raw data from our big data systems to build a solid foundation for modeling and dashboard development

• Perform exploratory data analysis to uncover hidden patterns and valuable opportunities within our datasets

• Build, validate, and deploy robust machine learning models and implement them into operational processes

• Design, build, and test user-friendly dashboards and analytics tools that are actively leveraged by end-users

• Continuously monitor model performance and dashboard usage metrics to make continuous improvements to existing solutions

Signaling Insights: Stakeholder Management & Communication

• Act as a lighthouse for our company - provide clear and compelling insights into the business through dashboards and ad-hoc analysis

• Translate complex data findings into clear reports and presentations for senior leadership to guide strategic decisions

• Partner with maritime subject matter experts to translate their deep domain knowledge into powerful, data-driven solutions

• Create clear and concise documentation for all analytical solutions to ensure they are understandable and maintainable

Being an Anchor for the Crew:

Teamwork

• Collaborate with the IT team to build high-quality, robust, and scalable solutions that balance technical rigour with real-world usability

• Promote data literacy across Fleet Management and drive adoption of analytical solutions by clearly explaining the impact of your work

• Champion data governance and best practices to ensure the quality and integrity of our data assets

Relationship (mostly Internal and or External) and Nature of Communication:

INTERNAL:

• Development Teams (based in HK & India); Ops & Support (based in HK & India); Stakeholders - Director-level and below

EXTERNAL:

• Interaction with vendors/third parties

Job Experience, Functional Knowledge and Qualifications

Essential :

• 3+ years' experience in a Data Analytics or Data Scientist role

• Hands-on experience across the entire life cycle of an analytics solution

• Database technologies (e.g. SQL, NoSQL, Graph Databases)

• Written queries to extract data and perform complex transformations and joins so that it can be used for modelling or dashboard development

Data Visualisation Tools (e.g. Tableau, Power BI):

• Single-handedly developed, launched, and maintained multiple dashboards; can explain the purpose of the dashboards and visual choices chosen to generate insights

Data Science and Model Development (e.g. Python, R):

• Built machine learning models from scratch (data preparation, feature engineering, model training/validation, model deployment). Familiar with modern ML packages (e.g. Scikit-learn, Pytorch)

Programming Development (e.g. Git):

• Have a strong emphasis on code versioning, tracking and proper development practices (documentation and commenting)

• Experience with and comfortable speaking with senior stakeholders (Director-level) to gather requirements for analytical solutions, leading user testing, and presenting solution to company leadership

• Independently delivered end-to-end projects and insights that improved business processes, driven the adoption of new methods, or launched a new solution, yielding quantifiable benefits

• Excellent communication and presentation skills in English

Desirable

• Bachelor's or master's degree in mathematics, Statistics, Computer Science, or a related quantitative field

• Experience setting up and managing cloud infrastructure for analytics purposes (e.g., AWS Sagemaker, EC2, Tableau Server)

• Experience in Generative AI model hands-on usage, model tuning, and configuration (e.g., Vertex AI, LangChain, Hugging Face)

• Exposure to Big Data technologies (e.g. Spark, Hive, Presto)

• Certificates in Tableau or native-cloud platforms such as AWS, Azure, or Google Cloud

Job Title: Instructor Offline Learning Centre

Location: Panipat, Haryana

Working Days: 6 (Monday to Saturday)

About upGrad

Founded in 2015, upGrad is Asias largest integrated Learning, Skilling, Workforce Development, and Placement company. Its offerings include online and hybrid degrees, study abroad programs,

certifications, bootcamps, and doctorates for working professionals. Through its B2B arm, upGrad

also provides enterprise training, recruitment, and staffing services. With 10M+ learners across 100+countries, 300+ global university partners, 2500+ pathway connections, and 20,000+ recruitment partners, upGrad continues to empower careers worldwide.

Learn more:

About the Role

As an Instructor at our Offline Learning Centres, you will deliver engaging sessions in Data Science, Machine Learning, Deep Learning, and related fields to students and working professionals. You will play a vital role in ensuring high-quality learning outcomes through classroom teaching, mentorship, and academic support.

This is a unique opportunity to combine your passion for technology and education, while shaping the careers of tomorrow.

6 Reasons to Join upGrad Offline Learning Centres

1. Career Growth & SME Pathway: Accelerate your career with opportunities to move into leadership roles and grow as a Subject Matter Expert by contributing to content development, curriculum design and new program launches.

2. Continuous Upskilling: Access 100% free upGrad programs for yourself and a 50% discount for your family.

3. Comprehensive Health & Wellbeing: Benefit from INR 5L medical insurance for yourself and your family, plus a 24x7 mental health helpline for all-round support.

4. Attractive Incentives: Earn additional incentives for successful student referrals from your batches, giving you direct rewards for expanding the learner community.

5. Employee Referral Bonus: Receive INR 15,000 for every successful employee referral bring great talent to upGrad and get rewarded.

6. Impact & Exposure: Opportunity to work with industry leaders, design cutting-edge content, and directly impact learner success.

Key Responsibilities

Deliver in-person lectures and training sessions in Data Science, Machine Learning, Deep Learning and related domains.

Guide learners through concepts, case studies, and projects to ensure strong understanding and application.

Collaborate with Centre Managers and academic teams to monitor learner progress and outcomes.

Support students with doubt-solving, mentorship, and building career-ready skills.

Continuously update knowledge and content to stay current with industry trends and tools.

Skills & Experience

Minimum 2+ years of teaching/training experience in Data Science, Machine Learning, or related fields.

Strong programming skills in Python and understanding of SQL, Excel.

Solid grasp of ML/DL concepts such as Regression, Decision Trees, Random Forests, Ensemble methods, Neural Networks, NLP, Recommendation Systems, etc.

Strong communication, presentation, and mentoring skills.

Comfortable with both classroom delivery and online teaching (camera-facing).

Education: BE/ B.Tech (minimum); Postgraduate preferred.

Equal Opportunity

We are an equal opportunity employer and value diversity at our company.

We do not discriminate on the basis of race, religion, colour, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status.

All employment is decided on the basis of qualifications, merit, and business need.

Designation: Capability Lead - Data Science & Analytics

This is not a delivery management role. This is a capability, technical leadership, and revenue-owning role.

About Us

TheMathCompany or MathCo is a globalEnterprise AI and Analytics companytrusted for data-driven decision-making by leading Fortune 500 and Global 2000 enterprises. Founded in 2016, MathCo builds customAI and advanced analytics solutions focused on enterprise problem-solving through its innovative hybridmodel. NucliOS, MathCo's proprietary platform with pre-built workflows and reusable plug-and-play modules, enables the vision of connected intelligence at a lower TCO.

For our employees, we foster an open, transparent, and collaborative culturewith no barriers, making MathCo a great place to work. We provide exciting growth opportunities, value capabilities, and attitude over experience, enabling the Mathemagicians to 'Leave a Mark'.

Job Overview

The Data Science & Analytics Capability Lead is a senior leadership role responsible for raising the technical depth and solution maturity across MathCo's analytics engagements.

This role exists to:

• Provide expert guidance on complex analytical problems across accounts
• Strengthening solution architecture for industry-level problems
• Engage with senior customer stakeholders as a technical thought partner
• Lead and mentor a pool of high-caliber SMEs who are embedded across client engagements
• Own and drive revenue generated from this capability through billed SME deployments
• Build reusable analytical frameworks, accelerators, and best practices
• Support learning and development of analytics talent across the organization
• Act as the technical conscience of the organization, ensuring rigor, innovation, and quality

Job Responsibilities

Technical Leadership Across Accounts

• Provide advisory support to accounts facing complex modeling and analytics challenges (e.g., MMM, MTA, Forecasting, Pricing, Retail Media Measurement, Causal Inference, Bayesian modeling, Neural Networks etc.)
• Review and strengthen analytical approaches, model structures, and solution logic
• Be the go-to expert for problem statements that require depth beyond standard playbooks

Senior Customer Stakeholder Engagement

• Engage directly with senior client stakeholders (Director/VP/Head of Analytics, Marketing Science, Revenue Growth, etc.) as a technical leader
• Represent MathCo's analytical depth in critical client conversations, workshops, and solution discussions
• Build credibility and trust through strong analytical articulation and problem solving
• Support accounts in translating complex analytics into business-relevant narratives for leadership audiences

Own and Grow the SME Capability Revenue

• Build and manage a pool of high-caliber SMEs deployed across accounts
• Drive billed utilization of SMEs embedded in client engagements
• Own the revenue generated from this capability
• Ensure SMEs are deployed where they create maximum client and commercial impact
• Track and manage capability pipeline, utilization, and revenue performance

Solution Design, Pilot Success & Pipeline Conversion

• Partner with Growth, Presales, and Account teams to design solutions for complex RFPs and problem statements
• Lead analytical solutioning for pilot and high-stakes projects
• Convert successful pilots and technical interventions into scaled engagements
• Actively contribute to conversion of sales pipeline through technical credibility

Build Analytical Assets & Frameworks

• Develop reusable solution frameworks for key industry problems
• Create modeling templates, code accelerators, and best practice playbooks
• Standardize high-quality analytical approaches across teams

Quality & Rigor Champion

• Act as the review authority for high-impact analytical solutions
• Improve analytical storytelling, documentation, and model defensibility
• Raise the bar for what "good" looks like at MathCo

Learning & Development Leadership

• Partner with L&D to design capability development programs
• Conduct internal workshops, masterclasses, and technical forums
• Create learning pathways, reference materials, and case studies from real engagements
• Mentor senior data scientists and emerging technical leaders across the organization

Thought Leadership & Innovation

• Stay ahead of emerging analytical techniques
• Drive adoption of modern modeling approaches across teams
• Represent MathCo's analytical thought leadership internally and externally

Key Outcomes & Success Metrics

• Revenue
• Capability Revenue
• Pilot Conversion of new engagements
• Pipeline Conversion
• Fulfilment quality on critical engagements
• Talent development - training, assessment, deployment
• Marketing content - POVs, Whitepapers etc.
• Billability and Impact of SMEs

Required Experience & Skills

Experience

• Over 12+ years of experience in advanced analytics and data science
• Deep experience in solving complex business problems using modeling and analytics
• Experience working across multiple industries - CPG, Retail etc.
• Experience across multiple verticals - Marketing, Supply Chain, Sales, Finance etc.
• Experience mentoring senior data scientists and technical teams
• Experience of global delivery setup across US, Europe and/or Asia Pacific

Technical Expertise (strong depth across all or several of these)

• Marketing Mix Modeling, Attribution, Causal Inference
• Pricing & Elasticity modeling
• Forecasting & time-series modeling
• Bayesian methods, hierarchical models, state-space models
• Machine Learning & statistical modeling
• Python and modern data science stack
• Neural Networks, Deep Learning, Transformers etc.
• Familiarity with GenAI applications in analytics (preferred)

Leadership & Influence

• Strong mentoring and coaching capability
• Ability to influence different teams and accounts across the org
• Strong solution design and analytical storytelling skills
• Ability to simplify complex business problems and solutions to technical and non-technical stakeholders
• Provide transparency and value reports to executive leadership

Who is this role ideal for-

The role is ideal for a senior analytics leader who:

• Loves solving hard analytical problems
• Enjoys mentoring and building tech talent
• Wants to shape analytics capability at an organizational level
• Thrives in ambiguity and complex problem spaces
• Is motivated by both technical excellence and commercial impact

Being a Mathemagician

• Understand & embody MathCo's culture and way of working.
• Demonstrate an ownership mindset to drive results, striving for excellence.
• Engage actively and contribute to initiatives fostering company growth
• Is comfortable engaging with senior clients as a technical peer
• Support diversity and understand different perspectives.

As a testament to our growth, we have been,

• Positioned as a Leader in Top Generative AI Service Providers - PeMa Quadrant 2023 by AIMResearch Recognized among the Inspiring Workplaces in North America, 2023
• Accredited for Inclusive Practices by Great Place to Work Institute, India
• Recognized among India's Best Workplaces for Diversity, Equity,Inclusion & Belonging2023 by Great Place To Work India

among others. To know more visit our website.

About ProcDNA:

ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 7 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What we are looking for:

A data science expert with expertise in designing and developing AI/ML solutions. Advanced skills in using libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and using libraries like Matplotlib, Seaborn, etc. for data visualization

What you'll do:

• Study and transform data science prototypes.
• Identify relevant data sources and sets to mine for client business needs and collect large, structured, and unstructured datasets.
• Perform statistical analysis and fine-tuning using test results.
• Research and implement appropriate ML algorithms and tools.
• Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work.
• Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in languages such as Python or R is essential. Knowledge of SQL for database querying is also beneficial

Must have:

• 3+ years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning
• Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction.
• Solid understanding and practical experience in applying machine learning algorithms for predictive modeling, classification, and clustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
• Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams.
• Experience in guiding and leading a small team of budding data scientists.
• Strong statistical skills for hypothesis testing, experimentation, and A/B testing

Immediate Joiners / currently serving notice preferred

About ProcDNA:

ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 400+ across 7 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What we are looking for:

A data science expert with expertise in designing and developing AI/ML solutions. Advanced skills in using libraries like Pandas, NumPy, and scikit-learn for data manipulation and analysis, and using libraries like Matplotlib, Seaborn, etc. for data visualization

What you'll do:

• Study and transform data science prototypes.
• Identify relevant data sources and sets to mine for client business needs and collect large, structured, and unstructured datasets.
• Perform statistical analysis and fine-tuning using test results.
• Research and implement appropriate ML algorithms and tools.
• Collaborate in building internal offerings to help client/company grow on aspects beyond project/client work.
• Contribute to data science projects, including data cleaning, feature engineering, model development, and deployment.
• Run ML tests and experiments.
• Proficiency in languages such as Python or R is essential. Knowledge of SQL for database querying is also beneficial

Must have:

• 3+ years of hands-on experience in data science, AI/ML.
• Strong understanding of machine learning
• Highly motivated with a proven ability to work creatively and analytically in a problem-solving environment with minimal direction.
• Solid understanding and practical experience in applying machine learning algorithms for predictive modeling, classification, and clustering. Knowledge of deep learning frameworks such as TensorFlow or PyTorch is a bonus.
• Strong communication and collaboration skills with the ability to articulate results and issues to internal and client teams.
• Experience in guiding and leading a small team of budding data scientists.
• Strong statistical skills for hypothesis testing, experimentation, and A/B testing

Immediate Joiners / currently serving notice preferred

Sasi Creative School of Architecture and Design (SCSAD) is expanding its interdisciplinary B.Des program with a new program in B.Design - Data Visualisation and Data Science where students build data stories, dashboards, and interactive visualizations. We are seeking faculty members to join our top-tier design institution in Coimbatore, Tamil Nadu.

Minimum Requirements:

• Education: B.Des / B.Tech / B.E (Degree specializing in Data Science or Data Visualization preferred).
• Experience: 3+ years of professional experience.
• Core Skills: Mandatory knowledge of Data Science; ability to teach through projects, labs, and portfolio mentoring.

Role Specializations:

• Studio: Data Visualization & Information Design (storytelling, visual systems).
• Applied: Data Science / ML (Python analytics, modeling, evaluation).
• Engineering: Interactive visualizations, dashboards, web implementations.
• Ethics: Statistics, research methods, and responsible storytelling bias.

Technical Stack (Expected):

• Programming: Python (Pandas, NumPy, Matplotlib), SQL, Jupyter/Colab.
• Visualization/BI: Tableau, Power BI, Flourish, Datawrapper.
• Design: Figma, Adobe Illustrator (After Effects is a plus).
• Web (Plus): D3.js, HTML/CSS/JavaScript (React).

Application Process: Please submit your application via the LinkedIn "Apply" button. Ensure your profile includes a link to your portfolio (design/viz) or GitHub (tech/data) and a note detailing the specific tools and courses you are qualified to teach.

Greetings from Sloka IT Solutions / Kamkon IT Solutions (subsidiary for our India-based requirements)

Job Title - AI/Data Science Lead

Language - English

Location - Bangalore/Mysore/Mangalore/BBSR

Duration - Minimum of a year with possible extension

Workplace type - Hybrid( 3 Days Office 2 days Home)

Experience - 8+ Years

About the Role:

We are looking for a highly skilled AI / Data Science Lead to drive the design, development, and deployment of advanced AI solutions, with a strong focus on RAG-based systems, Agentic AI, and AI-driven automation. This role requires a blend of technical leadership, hands-on implementation, and strategic thinking to build scalable, enterprise-grade AI solutions.

Key Responsibilities:

Technical Leadership

• Lead the design and implementation of RAG (Retrieval-Augmented Generation) architectures and Agentic AI systems.
• Architect end-to-end AI solutions including data pipelines, vector databases, embeddings, and LLM integrations.
• Define best practices for prompt engineering, model evaluation, and observability.
• Guide and mentor a team of data scientists, AI engineers, and ML engineers.

Solution Development

• Build and optimize AI agents capable of decision-making, tool use, and multi-step reasoning.
• Develop intelligent assistants, knowledge bots, and workflow automation using LLMs.
• Implement vector search, semantic retrieval, and knowledge graph-based systems.
• Work with structured and unstructured data sources (documents, logs, PDFs, APIs, etc.).

Stakeholder Collaboration

• Partner with business teams to translate use cases into AI solutions.
• Present AI strategy, architecture, and roadmaps to leadership.
• Collaborate with product, engineering, and cloud teams to integrate AI into production systems.

MLOps & Governance

• Define AI governance, security, and compliance frameworks.
• Establish monitoring, drift detection, and evaluation mechanisms for AI systems.
• Implement CI/CD pipelines for AI models and agents.

Required Skills & Experience:

Experience

• 8+ years in IT / Data Science / AI / ML roles
• Proven experience in building production-grade AI solutions
• Hands-on experience with RAG-based systems and Agentic AI

Technical Skills

• Programming: Python (mandatory), SQL
• LLMs & Frameworks:
• OpenAI / Azure OpenAI / Anthropic / Google Gemini
• LangChain, LlamaIndex, AutoGen, or similar frameworks
• Vector Databases: Pinecone, FAISS, Weaviate, or Chroma
• Data & ML:
• NLP, embeddings, semantic search
• Machine Learning basics
• Cloud Platforms: AWS, Azure, or GCP
• MLOps Tools: MLflow, Docker, Kubernetes, CI/CD

Agentic AI Experience

• Building autonomous AI agents
• Tool-calling agents (APIs, databases, automation tools)
• Multi-step reasoning and workflow orchestration
• Memory, context management, and planning in AI systems

Preferred Qualifications

• Graduate or Master's degree in Data Science, AI, Computer Science, or related field
• Experience in enterprise AI implementations
• Exposure to SAP, ERP, or business process automation (nice to have)
• Experience with Knowledge Graphs or Graph Databases

If interested, kindly share your updated CV at (or)

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Key Responsibilities

Strategic Transformation Leadership

• Define and lead enterprise transformation programs focused on cost reduction, process efficiency, and quality improvement across global BPO operations.
• Align transformation initiatives with strategic business objectives, driving outcomes around productivity, billable utilization, SLA adherence, and CX metrics (CSAT, FCR, etc.).
• Engage and speak fluently with business stakeholders, providing excellent technical command to bridge the gap between operational needs and data science solutions.

AI/ML-Driven Innovation

• Identify and lead use cases for machine learning, NLP, predictive analytics, Sentiment Analysis, CSAT Correlation, Transformers, LLM, genAI, and automation across key functions (quality assurance, workforce management, fraud detection, content moderation, etc.).
• Partner with internal data science, product, and engineering teams to develop AI/ML solutions, PoCs, and production-grade deployments.
• Collaborate directly with the Engineering team to build and scale production-ready systems based on the data-driven insights generated.

Process Reengineering

• Conduct value stream mapping, RCA workshops, and process simulations to uncover optimization opportunities.
• Develop and track transformation KPIs like AHT, TAT, Idle Time, Utilization, Attrition, and Forecast Accuracy.
• Apply strong experience in BPO-related operations specifically from a data science perspective to drive process maturity.

Cross-functional Program Execution

• Collaborate with business leaders, operations heads, and IT stakeholders to roll out initiatives with measurable ROI.
• Manage complex transformation roadmaps with agile governance, stakeholder alignment, change management, and risk mitigation.

Capability Building & Change Management

• Drive organizational maturity in digital transformation, citizen development, and AI literacy.
• Lead CoE (Center of Excellence) for AI-augmented operations and continuous improvement.

Required Qualifications

• Bachelor's degree in Engineering, Computer Science, or a related field.
• 8+ years of experience in BPO / KPO / Shared Services, with proven ownership of large-scale transformation projects.
• Strong experience in BPO-related operations viewed through a data science lens.
• 5+ years of experience leading AI/ML initiatives, with demonstrable understanding of model lifecycle, deployment, and AI governance.
• High proficiency in Amazon SageMaker for model development and deployment.
• Proficient in tools like Python, SQL, Power BI/Tableau, and exposure to AI platforms (Azure AI, AWS SageMaker, Google Vertex AI, or OpenAI APIs).
• Strong command over automation technologies (RPA tools like UiPath, Blue Prism, or Power Automate).
• Deep understanding of BPO metrics and operational challenges in domains like CX, F&A, Risk, and Content Operations.

Preferred Traits

• Strategic thinker with a bias for action and problem-solving mindset.
• Strong leadership presence with excellent technical command and the ability to influence C-level and business stakeholders.
• Excellent communication and storytelling skills, especially in presenting data-backed recommendations.
• Comfortable operating in fast-paced, ambiguous, and matrixed environments

How We Partner To Protect You: TaskUs will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of TaskUs.

DEI: In TaskUs we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. TaskUs is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know.

We invite you to explore all TaskUs career opportunities and apply through the provided URL

Job description

Mizuho Global Services Pvt Ltd (MGS) is a subsidiary company of Mizuho Bank, Ltd, which is one of the largest banks or so-called Mega Banks of Japan. MGS was established in the year 2020 as part of Mizuho long-term strategy of creating a captive global processing center for remotely handling banking and IT related operations of Mizuho Banks domestic and overseas offices and Mizuho group companies across the globe.

At Mizuho we are committed to a culture that is driven by ethical values and supports diversity in all its forms for its talent pool. Direction of MGSs development is paved by its three key pillars, which are Mutual Respect, Discipline and Transparency, which are set as the baseline of every process and operation carried out at MGS.

Whats in it for you?

• Immense exposure and learning
• Excellent career growth
• Company of highly passionate leaders and mentors
• Ability to build things from scratch

Know more about MGS:

Position Objective

This position is responsible for --

Design, develop, and deploy machine learning and AI models

Build end-to-end data science pipelines

Develop and optimize predictive, classification, recommendation, or NLP models

Collaborate with managers and stakeholders

Perform model evaluation, tuning, and monitoring in production environments

Commu

Assistant Professor- Operations and Data Sciences- School of Business Management - Jadcherla Campus

SVKM’s NMIMS Jadcherla Campus invites applications for the position of Assistant Professor- Operations and Data Science at the School of Business Management. We seek dynamic candidates with a passion to contribute to academic excellence, innovation, and student development in a collaborative environment

Job Title : Assistant Professo r - Operations and Data Sciences

Locatio n: School of Business Management, NMIMS Jadcherla Campus

Key Responsibilities

• Deliver engaging and high-quality lectures, case discussions, and practical sessions.
• Conduct independent and collaborative research, and publish in reputed national and international journals.
• Contribute to curriculum development, accreditation processes, and academic committees.
• Foster an environment of experiential learning, innovation, and analytical thinking among students.
• Participate actively in departmental meetings, student mentoring, and institutional events.
• Guide and mentor students in projects, internships, dissertations, and research activities

Qualifying Criteria

• The candidate must hold a Ph.D. with a First-Class Master’s Degree in Business Management / Administration or a relevant management-related dis

Role: Data science with Python

Experience: 6 - 10 years

Job location: Mumbai (Chembur)

Mode of Work: Hybrid Mode (3 days office)

Skill: Data science with strong Python

Good to have: GCP

Notice: Immediate to 30 days

J ob Description:

Data science, Machine learning, Python

Candidate should have experience in Data science

Candidate should have strong hands-on experience in Python

Should have experience in Machine Learning

Good to have:

GCP

Looking for Data Science / AI–ML professionals to join exciting, high‑impact projects. Immediate opportunities for skilled candidates who can attend an in‑person interview in Pune this Saturday .

🔹 Interview Mode: Face‑to‑Face

🔹 Interview Day: Saturday, 14-Feb-2026

🔹 Location: Pune, Maharashtra

Positions:

✅ Data Scientist

✅ AI / Machine Learning Engineer

Key Skills (Any of the below):

• Machine Learning, Deep Learning, NLP
• Generative AI, LLMs, Prompt Engineering, RAG
• Python, SQL, PySpark
• Cloud Platforms (Azure / AWS / GCP)
• MLOps, Model Deployment & Monitoring
• Data Engineering & Advanced Analytics

Work Location: PAN India

Experience: 4 - 14 yrs

If interested please share your updated resume with:

• Total Experience:
• Relevant Experience:
• Current CTC | Expected CTC:
• Notice Period:
• Are you willing to attend F2F interview on Saturday, 14-Feb-2026: Yes/No

Good day,

We have an opportunity for Lead AI/ML/Data Science ((AIOps/MlOps/LLMOps))-

Job Role: Lead AI/ML/Data Science ((AIOps/MlOps/LLMOps))

Job Location: Bangalore

Experience- 7 Years to 15 Years.

Notice Period: Upto 30 Days.

About Company:

At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’ s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honoured with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+ and has 60 offices in 22 countries within key global markets. For more information on the company, please visit our website or LinkedIn community .

About Fleet Management

Our 30-year journey rides on the passion of over 27,000 seafarers and 1,000 onshore professionals. Today, we are one of the largest independent third-party ship management companies managing over 650+ diverse types of vessels.

Headquartered in Hong Kong SAR, China, we operate on a global scale having 27 offices in 12 countries. Our client base spans over 100 world-class ship owners, including Fortune 500 companies from China, Greece, India, Japan, Korea, Netherlands, Norway, Turkey and the USA, among others.

In a shore career at Fleet, you will be working with a team of a highly passionate, self-driven and committed group of people. We aim to be a place where you can achieve your full potential, regardless of your background.

We are looking for individuals who are ambitious about making a strong contribution to Fleet's short and long-term sustainable growth – whether you are dealing directly with clients or working in a role supporting the business, such as technology, legal or communications.

Key Roles and Responsibilities

As a Data Science Analyst, your typical day will include:

Charting the Course: Development of the NOVA Analytics Platform

• Manage analytics projects from concept to project planning, delivery, and completion, adhering to the Analytics roadmap


Fleet Management Limited



Yesterday