Find Your Dream Artificial Intelligence Job in India

Experience: Two to five years of shipping production AI or machine-learning systems and scaling data-intensive back ends.

Why this role matters

Terrabase is shaping the next frontier of work AI-an adaptive platform where ambient and specialized agents mesh seamlessly to deliver the one answer that matters, instantly and safely. Think category-defining speed, unwavering accuracy, and enterprise-grade guardrails. Your mission: harden that edge with bulletproof eval loops, unbreakable safety nets, and ruthless performance tuning across our multi-agent engine.

What will you do

• Own the evaluation loop: Design offline and real-time test harnesses, golden-set datasets, and automated regression dashboards that grade each new agent release on precision, recall, latency, and cost.
• Harden safety and guardrails: Implement content filters, prompt firewalls, and fallback chains so answers stay compliant with SOC 2 and HIPAA constraints.
• Optimize prompts and retrieval: Iterate on system, user, and tool prompts for diverse enterprise workflows. Tune ranking models and vector search parameters to lift relevance.
• Benchmark LLM approaches: Compare open-weight models, hosted APIs, and fine-tuned derivatives. Present trade-off reports that balance performance with budget.
• Prototype and demo: Build thin, focused proof-of-concepts that show customers new capabilities before we commit to full sprint cycles.
• Document and share best practices: Write concise run-books, design notes, and post-mortems so the next engineer can reproduce your results without guesswork.
• Stay current: Track the latest research on retrieval-augmented generation, tool-calling agents, and evaluation methodologies; bring the most practical ideas into production.

What we look for

• Two to five years of building or operating machine learning or data-intensive back-ends in production.
• Strong work ethic and bias for ownership. You identify problems, propose fixes, and drive them to closure.
• Clear, systematic thinker. Your design docs read like thinking in public, and your code structure reflects first principles reasoning.
• Proficient Python engineer comfortable with type hints, pytest, and modern packaging.
• Hands-on experience with at least one of: LangChain, LangGraph, or other agent frameworks.
• Familiarity with vector databases and semantic search fundamentals.
• Evidence of structured problem solving: could be a design doc, a refactored subsystem, or an open-source pull request.
• Clear communication and bias for action-you unblock yourself and raise flags early.

Bonus points

• Prior work with evaluation libraries such as Ragas, LM-Eval, or Intercode.
• Experience integrating compliance guardrails or red-team testing for Gen-AI systems.
• Contributions to open-source AI projects or published technical blogs.

Life at Terrabase

We operate as a sharp, humble, fully remote crew that values deep focus and fast feedback. Your code ships to real customers every week, supported by generous GPU budgets and a culture that prizes clear thinking over long meetings.

Terrabase is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for every team member.

Title: Senior Al/ ML Engineer. (5- 7 years of Experience)

Job Location: Hyderabad, Telangana

Job type: permanent

Work Mode: Onsite

Need only Immediate Joiners- Notice period profiles are not accepted this time.

Description

Our client is seeking a hands-on AI/ML Engineer with deep expertise in large language models, retrieval-augmented generation (RAG), and cloud-native ML development on AWS. You'll be a key driver in building scalable, intelligent learning systems powered by cutting-edge AI and robust AWS infrastructure.

If you're passionate about combining NLP, deep learning, and real-world applications at scale, this is the role for you.

A minimum of 3 years of specialized experience in AI/ML is required.

Core Skills & Technologies

• LLM Ecosystem & APIs
• OpenAI, Anthropic, Cohere
• Hugging Face Transformers
• LangChain, LlamaIndex (RAG orchestration)
• Vector Databases & Indexing
• FAISS, Pinecone, Weaviate

AWS-Native & ML Tooling

• Amazon SageMaker (training, deployment, pipelines)
• AWS Lambda (event-driven workflows)
• Amazon Bedrock (foundation model access)
• Amazon S3 (data lakes, model storage)
• AWS Step Functions (workflow orchestration)
• AWS API Gateway & IAM (secure ML endpoints)
• CloudWatch, Athena, DynamoDB (monitoring, analytics, structured storage)

Languages & ML Frameworks

• Python (primary), PyTorch, TensorFlow
• NLP, RAG systems, embeddings, and prompt engineering

What You'll Do

• Model Development & Tuning

o Designs architecture for complex AI systems and makes strategic technical decisions

o Evaluates and selects appropriate frameworks, techniques, and approaches

o Fine-tune and deploy LLMs and custom models using AWS SageMaker

o Build RAG pipelines with LlamaIndex/LangChain and vector search engines

• Scalable AI Infrastructure

The architect distributed model training and inference pipelines on AWS

o Design secure, efficient ML APIs with Lambda, API Gateway, and IAM

• Product Integration

o Leads development of novel solutions to challenging problems

o Embed intelligent systems (tutoring agents, recommendation engines) into learning platforms using Bedrock, SageMaker, and AWS-hosted endpoints

• Rapid Experimentation

o Prototype multimodal and few-shot learning workflows using AWS services

o Automate experimentation and A/B testing with Step Functions and SageMaker Pipelines

• Data & Impact Analysis

o Leverage S3, Athena, and CloudWatch to define metrics and continuously optimize AI performance

• Cross-Team Collaboration

o Work closely with educators, designers, and engineers to deliver AI features that enhance student learning

o Mentors junior engineers and provides technical leadership

Who You Are

• Deeply Technical: Strong foundation in machine learning, deep learning, and NLP/LLMs

• AWS-Fluent: Extensive experience with AWS ML services (especially SageMaker, Lambda, and Bedrock)

• Product-Minded: You care about user experience and turning ML into real-world value

• Startup-Savvy: Comfortable with ambiguity, fast iterations, and wearing many hats

• Mission-Aligned: Passionate about education, human learning, and AI for good

Bonus Points

• Hands-on experience fine-tuning LLMs or building agentic systems using AWS

• Open-source contributions in AI/ML or NLP communities

• Familiarity with AWS security best practices (IAM, VPC, private endpoints)

Role: AI/ML Engineer

Location : Gurugram (WFO)

About Company:

We are an innovative AI-driven company with a focus on revolutionizing Real Estate with AI. As we expand our operations and scale new heights, we are looking for a detail-oriented and strategic Finance Manager to join our dynamic team and manage the financial health of the organization.

Role Overview:

We are seeking a highly skilled AI R&D Engineer with expertise in large language models, startup dynamics, and building production-grade AI products. You will play a pivotal role in designing, implementing, and optimizing LLM-driven systems that power our next-generation conversational AI solutions.

Key Responsibilities:

Design, train, fine-tune, and evaluate large language models for diverse conversational AI use cases.

Stay updated on the latest advancements in LLMs, NLP, and generative AI.

Propose and implement innovative methods, tools, and frameworks to enhance model performance, efficiency, and reliability.

Collaborate with product managers, software engineers, and UX designers to seamlessly integrate AI models into user-facing applications.

Develop APIs, tools, and infrastructure for deploying models in production environments.

Establish robust evaluation metrics, benchmarks, and automated testing frameworks for conversational systems.

Continuously monitor model performance and iterate based on user feedback and data-driven insights.

Guide and mentor junior engineers in applied AI research, engineering best practices, and MLOps.

Foster a culture of experimentation, excellence, and continuous learning.

Qualifications & Experience:

Core Requirements:

At least 2 years of experience in AI/ML R&D, with a proven track record in working with state-of-the-art NLP and LLM technologies (e.g., GPT, LLaMA, Falcon, PaLM).

Prior experience in fast-paced, high-growth environments with iterative development and evolving priorities.

Strong programming skills in Python.

Proficiency with ML frameworks like PyTorch or TensorFlow.

Experience with cloud platforms (AWS, GCP, Azure), containerization (Docker), and CI/CD pipelines.

Expertise in fine-tuning LLMs, prompt engineering, and building scalable data pipelines.

Ability to effectively communicate complex ideas to technical and non-technical stakeholders while thriving in cross-functional teams.

If Interested please share your CV at

Job description

About Us:

Lxme is a leading financial services platform in India, committed to revolutionizing and digitising the way women manage and grow their finances. We are on a mission to provide innovative and accessible financial solutions to our women audience, leveraging cutting-edge technology and a customer-centric approach.

Preferred Experience:

• Industry Expertise: Prior understanding of financial services workflows, particularly within investment banking.
• AI Implementation: Experience in implementing AI tools for financial analysis or document automation.
• CRM Expertise: Experience with CRM system implementation and integration in a financial services context.
• Technical Familiarity: Knowledge of modern API integration, data architecture, and related technologies.
• Platform Knowledge: Familiarity with financial platforms such as Bloomberg, Tracxn, or other related tools.

Education:

Bachelor's degree in Computer Science, Information Systems or related field.

Position Summary:

We are seeking a highly skilled and experienced Technology Business Analyst to lead the integration of artificial intelligence tools, data analysis methods and other new technologies within all our external and internal systems. This role combines strategic vision with hands-on implementation experience to drive operational efficiency and enhance analytical capabilities across the organization.

Required Qualifications:

• Experience: 5+ years of experience in implementing technology solutions within the financial services industry.
• Project Leadership: A proven track record of successfully leading technology transformation projects from initiation to successful completion.
• Technology Knowledge: Strong knowledge of current AI and automation technologies, with a focus on their practical applications in the finance sector.
• Skills: Excellent project management skills, with the ability to manage timelines, resources, and stakeholders effectively. Strong communication skills to engage and align stakeholders.

Key Responsibilities:

• Collaborate with Internal Teams: Work closely with various internal teams to understand their existing processes and identify areas for improvement through the integration of technology solutions.
• Lead Technology Evaluation and Implementation: Take ownership of evaluating, selecting, and implementing AI tools, data repositories and analysis tools, and other technologies that align with the firms strategic goals and objectives.
• Design and Implement Automated Workflows: Lead the design and execution of automated workflows, focusing on tasks such as research aggregation, document creation, and data analysis to enhance operational efficiency.
• Manage Vendor Relationships: Oversee relationships with technology vendors, ensuring smooth communication, contract compliance, and successful integration of new tools into existing systems.
• Develop Training Programs: Create and implement comprehensive training programs for end-users, ensuring smooth adoption and effective utilization of new technologies across the organization.
• Create Documentation: Maintain detailed documentation for all implemented systems and processes, ensuring proper knowledge transfer and compliance.
• Monitor and Optimize System Performance: Continuously monitor the performance of implemented technologies, collect user feedback, and identify opportunities for further improvements or enhancements.

Required Skills:

• Analytical and Problem-Solving Abilities: Strong analytical skills with the ability to dissect complex problems and identify data-driven solutions.
• Communication Skills: Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Adaptability: Proven ability to quickly learn new technologies and business processes and apply them effectively.
• Leadership and Influence: Strong leadership capabilities, with experience driving change and influencing teams across various departments.
• Vendor and Budget Management: Experience managing vendor relationships and overseeing technology budgets, ensuring cost-effective and strategic alignment with business goals.

About the AI Pod:

Join our innovative AI Pod focused on revolutionizing performance marketing creatives. Our mission is to build cutting-edge internal tools powered by Artificial Intelligence to automate the creation of high-impact marketing videos. By cutting production time, enabling creatives at scale, and boosting ROI, this pod will directly empower our marketing teams to launch faster, test more rigorously, and drive significant performance improvements across platforms like Meta and Google.

Role Summary:

We are looking for two skilled and passionate AI Engineers to be foundational members of our AI Pod. You will be responsible for designing, developing, and implementing the core AI and Machine Learning models and systems that power our automated video creation platform. You will work closely with other engineers and a marketing stakeholder to translate creative requirements into intelligent, scalable solutions that deliver against our ambitious goals.

Key Responsibilities:

• Develop and implement AI/ML models and algorithms for various stages of the automated video creation pipeline, including (but not limited to) text-to-video generation, voiceover synthesis, animation sequencing, and content summarization/copy generation.
• Integrate with and leverage external generative AI APIs and platforms (e.g., Text-to-Video tools like Runway, Pika Labs, Kaiber; Voice Generation tools like ElevenLabs, Play.ht; Language Models like OpenAI, Claude).
• Design and build data pipelines to process input assets (images, text, product info) and prepare them for AI model consumption.
• Contribute to the development of the "Smart Creative Engine" (Phase 2), focusing on generating creative variations based on audience, placement, and messaging through intelligent automation.
• Optimize models and pipelines for performance, scalability, and efficiency to ensure rapid video turnaround times.
• Collaborate with the fullstack engineer to build robust APIs and backend services that expose AI functionalities to the frontend and potential ad platform integrations.
• Work closely with the Marketing Stakeholder to understand creative needs, gather feedback, and iterate on AI-generated outputs.
• Stay up-to-date with the latest advancements in generative AI, computer vision, natural language processing, and automated content creation.
• Implement best practices for model training, evaluation, deployment, and monitoring.
• Contribute to code reviews and maintain high code quality standards.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience.
• Proven experience developing and deploying AI/ML models in a production environment.
• Strong programming skills in Python.
• Proficiency with major AI/ML frameworks such as TensorFlow and/or PyTorch.
• Experience with libraries like Scikit-Learn, Keras, Matplotlib, SciPy, and potentially OpenCV or Tesseract.
• Familiarity with generative AI concepts and models (e.g., GANs, Transformers, Diffusion Models).
• Experience working with and integrating external APIs, particularly those related to AI/ML or content generation.
• Understanding of data processing, feature engineering, and model evaluation techniques.
• Ability to work effectively in an Agile, cross-functional team environment.
• Strong problem-solving skills and a creative approach to technical challenges.

Bonus Points (Nice to Have):

• Experience with Text-to-Video generation techniques or platforms.
• Experience with Voice Generation (TTS) technologies or platforms.
• Familiarity with cloud platforms (AWS, GCP, Azure) for model deployment and scaling.
• Experience with containerization (Docker) and orchestration (Kubernetes).
• Prior experience in the AdTech or Marketing Technology domain.
• Experience with workflow automation tools like Zapier or Make.
• Understanding of video processing techniques.

What We Offer:

• The opportunity to be part of a foundational AI Pod with a clear mission and direct impact on business growth.
• Work on exciting, cutting-edge applications of generative AI in a real-world marketing context.
• A fast-paced, collaborative, and innovative work environment.
• The chance to significantly influence the technical direction and success of the AI Pod.

About the Company

Zetheta Algorithms Private Limited () is a FinTech start-up which has been recently set up and is developing innovative AI tools.

About the Role

We are seeking a talented and motivated student intern to develop AI models from scratch within a 2 month timeframe. This is an extraordinary opportunity for a self-driven, technically skilled student to build a complete enterprise-grade system that incorporates cutting-edge AI technologies including deep learning.

Responsibilities

• Design and implement the complete AI Models following provided specifications
• Develop both frontend and backend components of the platform
• Create and integrate AI modules
• Design and optimize database schema and queries
• Ensure system security, especially for sensitive identity verification data
• Deploy the solution using zero-cost cloud services
• Document code, APIs, and system architecture
• Complete the entire project within the 2 month timeline

Qualifications

A student who is currently pursuing or recently completed a degree in Computer Science, AI/ML, or related field.

Required Skills

• Strong programming skills in Python and JavaScript
• Experience with React.js for frontend development
• Knowledge of FastAPI or similar Python web frameworks
• Familiarity with database design and SQL (particularly PostgreSQL)
• Understanding of basic machine learning concepts
• Self-motivated with ability to work independently

Preferred Skills

• Sound knowledge of AI/ML libraries (TensorFlow, Keras, HuggingFace Transformers)
• Familiarity with computer vision techniques using OpenCV
• Knowledge of natural language processing concepts
• Sound knowledge of facial recognition or emotion detection systems
• Understanding of identity verification methodologies
• Docker containerization experience
• Prior work with cloud deployment (AWS)

Who Should Apply?

• Student or fresh graduate from any academic discipline.
• Strong analytical and problem-solving skills.
• Basic knowledge of Microsoft Office.
• Willingness to self-learn and work in a fast-paced environment.

Internship Details

• Duration: Self paced, options for 1,2,3,4 or 6 months.
• Type: Unpaid

About Workafy:

Join Workafy, a freelance marketplace connecting 500,000+ professionals with global opportunities. Work on projects that match your skills, anytime, anywhere.

Job Description:

Seeking skilled AI Engineers to help clients develop machine learning models, AI-driven applications, and automation solutions.

Responsibilities:

• Design and implement AI/ML models.
• Optimize algorithms for performance and scalability.
• Develop AI-powered automation and predictive systems.

Requirements:

• Experience in AI, machine learning, or deep learning.
• Proficiency in Python, TensorFlow, PyTorch, or similar tools.
• Strong analytical and problem-solving skills.

Why Join Us?

• Work on diverse AI projects.
• Flexible freelance opportunities.
• Be part of a thriving professional network.

Apply now at and grow your freelance career as an AI Engineer!

We are on the hunt for a Lead Artificial Intelligence (AI) passionate about architecting, developing, and supporting advanced AI computing resources and AI-enabled services. The ideal candidate will lead the charge in implementing scalable, high-performance computing infrastructures for AI/ML, collaborating with cross-functional teams to bring innovative AI solutions from conception to deployment.

Roles & Responsibilities

• Architect, design, and implement scalable AI/ML computing infrastructures and application stacks.
• Collaborate with project managers, analyst & business stakeholders to design and deploy AI solutions.
• Develop and demonstrate AI use-cases, conducting training sessions to foster AI adoption.
• Evaluate and implement best practices in AI/ML and analytics.
• Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.
• Provide expert consultation on AI-related standards, best practices, and governance frameworks.
• Lead disaster recovery and business continuity planning for AI computing infrastructure.
• Stay updated with emerging technologies in AI and ML to enhance institutional capabilities.

Eligibility Criteria

• Master's degree in Computer Science or Data Science or Information Technology,
• 6+ years in high-level architecture design and solution development for large-scale AI/ML systems.
• Extensive experience with deep learning frameworks (e.g., TensorFlow, Keras, PyTorch), time series analysis, predictive modelling, and NLP.

Preferred Skillsets

• Expertise in predictive analytics, machine learning, deep learning architectures, and text analytics with NLP.
• Proficiency in Python for AI/ML; experience with graph databases, neural networks, and MLOps.
• Knowledge of high-performance AI computing platforms, Linux, and shell scripting in AI computing environments.
• Exceptional communication skills to articulate technical solutions to both technical and non-technical audiences.
• Strategic thinking in systems capacity planning, hardware and software updates, and migration.

Gen AI - Artificial Intelligence Specialist

Work Location: Hyderabad - Work from Office(Must)

Willing to Join - ASAP

Responsibilities -

• Drive customer conversations for Gen AI opportunities
• Understand customer specific requirements and create customer acceptable Gen AI solution architectures
• Create customer proposals and RFP responses
• Guide solution engineers in creating Gen AI POC and solutions for industry verticals
• Show initiative and drive topics to resolution in an elevated level of quality, speed, reliability, and efficiency
• Staying abreast of the latest developments in technology and industry, best practices and finding where they can be incorporated
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, proving the potential of Generative AI applications

Qualifications -

• Experience in software development: 8+ years
• Experience in Generative AI solution development: 3 years
• Bachelor's degree or above in Computer Science, Software Engineering or similar disciplines
• Experience in two industry domains and ability to learn new domains quickly
• Adept at critical thinking and logical reasoning for problem-solving
• Be good at teamwork and delivering under pressure
• Generative AI oriented
• Experience with at least one cloud technology: Azure, AWS, GCP
• Good understanding of NVIDIA or other similar technologies
• Understanding of sound design principles and patterns
• Solid appreciation of AI/ML concepts

Required Skills -

• Extremely dynamic and enthusiastic about technology
• Development experience with one or more of these technologies: C++, Java, JavaScript, HTML, C#, Python, node.js
• Be able to adapt quickly to new challenges and an evolving technology stack
• Excellent written and verbal communication skills. Fluent English is essential
• Strong analytical and critical thinking skills
• Demonstrating a customer-focused attitude; Excellent communication skills (listening, presenting, writing, formal and informal)
• Initiative-taking, self-driven, curious, open-minded, resourceful, and flexible with the ability to learn quickly
• Firsthand of Python, ML Algorithms and Statistics
• Knowledge of source code maintenance and versioning tools
• Strong in Object Oriented Programming Concepts
• Good in debugging and analytical skills

Preferred Skills -

• 5+ years of experience in ML development and MLOps
• Strong programming skills, with ability in languages like Python, with a good knowledge of ML, Data and API libraries
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with ML models and their development
• Should know ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable Aí
• Understanding of some of the popular ML frameworks such as SparkML, TensorFlow, scikit-learn, XGBoost, H2O, etc.
• Experience working in a cloud environment (AWS, Azure, GCP) or a containerised environment (Mesos, Kubernetes)
• Interest in understanding functional and industry business challenges
• Desirable to know about IT Industry and potential GenAI use case in insurance processes
• Ideally, you'll also have Expertise in Big Data, Data Modelling

Role Summary

We are seeking a full-time AI Engineer to lead the development of a smart application that reads Bills of Quantities (BoQs) and automatically proposes unit prices for each line item using OpenAI GPT models and internal pricing data.

• You will work at the intersection of natural language processing, construction data interpretation, and AI automation, creating tools that will shape the future of project estimation.

Key Responsibilities

• Design and build a software application that reads and interprets BoQ documents (PDF, Excel, structured formats)
• Integrate with OpenAI (ChatGPT API) to analyze BoQ line items and suggest unit prices
• Fine-tune prompt engineering for accurate, context-aware pricing outputs
• Connect the system to internal historical databases or market references
• Develop interfaces for estimators, project managers, and procurement teams to interact with AI-generated results
• Ensure outputs are transparent, auditable, and adjustable
• Continuously improve model performance through user feedback and active learning

Qualifications

• Strong programming skills in Python and experience working with APIs (especially OpenAI)
• Experience with document parsing tools (e.g., PDF parsers, OCR, NLP libraries)
• Background in machine learning or AI application development
• Familiarity with construction data, unit pricing, or quantity surveying (bonus)
• Ability to bridge AI and practical use cases in a multidisciplinary environment
• Strong problem-solving skills and a passion for applied AI
• Bachelor's or Master's in Computer Science, AI, Data Science, or related fields

Bonus Skills

• Experience with LangChain, vector databases (e.g., Pinecone, Weaviate), or fine-tuning LLMs
• Knowledge of construction standards (e.g., CESMM, NRM, SMM7)
• Prior work in cost estimation or construction tech

What We Offer

• Opportunity to work on a real-world AI application with immediate impact
• Work inside a leading construction firm actively investing in digital innovation
• Competitive salary and benefits
• Collaborative and supportive environment

Job Title: Conversational AI Engineer

Experience Level: 3+ years in Conversational AI and 5+ years of Software development experience.

About the Role:

We are looking for a Conversational AI Engineer to design and implement intelligent chatbot solutions that enhance user engagement and streamline business processes. The ideal candidate will have hands-on experience with Conversational AI platforms-preferably Microsoft's-and a solid understanding of NLP, dialog systems, and enterprise integrations. Exposure to Agentic AI frameworks is a strong plus, as we aim to build more autonomous and context-aware digital agents.

Key Responsibilities:

• Develop and deploy conversational bots using Microsoft BOT Framework, Azure BOT Services, and Power Virtual Agents.
• Design and implement dialog flows, NLP models, and multi-turn conversations.
• Integrate bots with enterprise systems, APIs, and third-party platforms.
• Collaborate with cross-functional teams including UX designers, product managers, and backend developers.
• Explore and implement Agentic AI capabilities to enhance bot intelligence and autonomy.
• Conduct testing, debugging, and performance tuning of bot applications.
• Monitor bot performance and continuously improve user experience and functionality.
• Maintain documentation and contribute to best practices in BOT development.

Required Qualifications:

• Bachelor's degree in computer science, Engineering, or a related field.
• 5+ years of experience in software development, with at least 2 years in Conversational AI.
• Hands-on experience with Microsoft Conversational AI tools (BOT Framework, Azure BOT Services, LUIS, Power Virtual Agents).
• Proficiency in programming languages such as C#, Python, or JavaScript.
• Strong understanding of NLP, dialog management, and conversation design.
• Experience integrating bots with APIs and backend systems.
• Strong problem-solving and communication skills.

Preferred Qualifications:

• Experience with Agentic AI frameworks (e.g., AutoGPT, LangChain Agents, BabyAGI).
• Familiarity with other Conversational AI platforms (e.g., Google Dialogflow, Amazon Lex, Rasa).
• Knowledge of Azure Cognitive Services, OpenAI APIs, and LLM orchestration.
• Experience with agile development and DevOps practices.
• Microsoft Azure AI certifications or equivalent.

About the Company

We are a forward-thinking organization dedicated to leveraging technology to enhance user experiences through innovative solutions.

About the Role

We are looking for a dynamic and experienced Conversational AI Lead to spearhead the design, development, and deployment of intelligent virtual assistants and enterprise-grade chatbots. This role requires hands-on expertise with Conversational AI platforms-preferably Microsoft's-and a deep understanding of natural language processing, dialog design, and AI-driven user experiences. Experience with Agentic AI frameworks will be a significant advantage as we explore the next generation of autonomous digital agents.

Responsibilities

• Lead the end-to-end lifecycle of conversational AI projects-from ideation and design to development, testing, and deployment.
• Manage and mentor a team of conversational designers, developers, and AI engineers.
• Architect and implement scalable chatbot solutions using Microsoft Bot Framework, Azure Bot Services, and related tools.
• Collaborate with business stakeholders to define bot use cases, KPIs, and user journeys.
• Integrate bots with enterprise systems, APIs, and third-party platforms.
• Drive innovation by exploring and implementing Agentic AI capabilities for autonomous and context-aware interactions.
• Ensure adherence to best practices in conversation design, security, and compliance.
• Monitor bot performance and continuously optimize for user experience and business outcomes.
• Stay current with advancements in AI, LLMs, and conversational technologies.

Qualifications

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 10+ years of IT experience, with at least 4 years in Conversational AI leadership roles.
• Proven experience with Microsoft Conversational AI stack (Bot Framework, Azure Bot Services, LUIS, Power Virtual Agents).
• Strong understanding of NLP, dialog management, and multi-turn conversation design.
• Experience in building and deploying enterprise-grade bots across multiple channels (Teams, Web, Mobile).
• Proficiency in programming languages such as C#, Python, or JavaScript.
• Excellent leadership, communication, and stakeholder management skills.

Preferred Skills

• Experience with Agentic AI frameworks (e.g., AutoGPT, LangChain Agents, BabyAGI).
• Familiarity with other Conversational AI platforms (e.g., Google Dialogflow, Amazon Lex, Rasa).
• Knowledge of Azure Cognitive Services, OpenAI APIs, and LLM orchestration.
• Experience with DevOps, CI/CD pipelines, and agile methodologies.
• Microsoft Azure AI certifications or equivalent.

About AiSensy

AiSensy is a WhatsApp based Marketing & Engagement platform helping businesses like Adani, Delhi Transport Corporation, Yakult, Godrej, Aditya Birla Hindalco., Wipro, Asian Paints, India Today Group Skullcandy, Vivo, Physicswallah, Cosco grow their revenues via WhatsApp.

• Enabling 100,000+ Businesses with WhatsApp Engagement & Marketing
• 400Crores + WhatsApp Messages done between Businesses and Users via AiSensy per year
• Working with top brands like Delhi Transport Corporation, Vivo, Physicswallah & more
• High Impact as Businesses drive 25-80% Revenues using AiSensy Platform
• Mission-Driven and Growth Stage Startup backed by Marsshot.vc, Bluelotus.vc & 50+ Angel Investors

About the Role

We are seeking a highly skilled and innovative AI/ML Engineer to join our dynamic team. In this role, you will design, develop, and deploy cutting-edge artificial intelligence (AI) solutions, leveraging advanced machine learning (ML) techniques and AI frameworks to address complex business challenges. You will work closely with cross-functional teams to build intelligent systems and drive innovation, with a focus on implementing and optimizing modern AI technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI Agents.

Key Responsibilities

AI Model Development

• Design, develop, and optimize AI solutions, including LLMs, RAG architectures, and Graph-based RAG systems, tailored to specific business needs.
• Develop and fine-tune models for tasks such as Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning (RL).

Prompt Engineering and AI Agents

• Work with prompt optimization to enhance LLM-based responses for specific use cases.
• Develop autonomous AI agents capable of completing multi-step tasks with minimal human intervention.

Data Processing and Management

• Collect, clean, preprocess, and organize datasets for effective AI and ML model training and evaluation.
• Leverage graph databases and vector stores for efficient data retrieval in AI-driven systems.

Algorithm Selection and Optimization

• Choose and implement appropriate algorithms, considering constraints such as scalability, interpretability, and real-time deployment requirements.
• Conduct hyperparameter tuning and optimization experiments to maximize model efficiency and accuracy.

Deployment and Integration

• Deploy AI/ML models in production-grade environments, ensuring scalability, reliability, and seamless integration with existing systems.
• Implement model monitoring pipelines to ensure performance consistency over time.

Research and Development

• Stay abreast of the latest trends and advancements in AI and ML technologies, such as transformer architectures, diffusion models, and multi-modal AI.
• Experiment with emerging tools like LangChain, Hugging Face, and OpenAI APIs to innovate solutions.

Collaboration and Knowledge Sharing

• Work closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful AI solutions.
• Document workflows, processes, and findings to enable knowledge sharing and continuity across teams.

Required Qualifications

Education

• Bachelor's or Master's degree in Computer Science, AI, Data Science, Engineering, Mathematics, or a related field.

Experience

• Minimum 3+ years in AI/ML roles with a proven track record in building and deploying AI-driven solutions.

Technical Proficiency

• Proficiency in Python and AI/ML frameworks like TensorFlow, PyTorch, scikit-learn, or Keras.
• Experience working with LLMs, transformers, and generative AI tools.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure, including AI-focused services like SageMaker and Vertex AI.
• Knowledge of vector databases (e.g., Pinecone, Milvus, Weaviate) and graph databases for RAG systems.

Analytical Expertise

• Strong understanding of advanced statistical methods, mathematical concepts, and probabilistic models.
• Ability to analyze and interpret data for actionable insights and model improvements.

Soft Skills

• Exceptional problem-solving and critical-thinking abilities.
• Strong communication skills to effectively collaborate with cross-functional teams.
• Adaptability to a fast-paced, innovation-driven environment.

Preferred Qualifications

• Hands-on experience with LangChain, Hugging Face Transformers, or OpenAI API integrations.
• Expertise in specialized AI domains like multi-modal learning, conversational AI, and prompt engineering.
• Contributions to open-source AI projects or publications in recognized AI/ML conferences or journals.
• Familiarity with deploying AI Agents in production systems.

AI ML Lead /Engineer: Gurgaon

. Minimum 4 years of experience in AI Engineering.

Expertise in Python coding

Ability to create, train, fine tune, deploy and evaluate various machine learning/deep learning models and frameworks exposure like TensorFlow, PyTorch.

Strong skills in data manipulation, derive insights EDA, Feature Engineering and visualization using libraries (matplotlib,seaborn)or tolls (powerbi/tableau) , communicate with non technical stakeholders

Experience in NLP techniques like preprocessing and representation is essential.

Experience in GenAi chatbots(RAG,TEXT 2 SQL) and prompt engineering techniques to develop AI systems.

Understanding in insurance domain/ workflows and regulations

If interested keep me posted to or

All the best for your Job Search

Warm Regards

Raja Rajeswari R

Deputy Manager

Job Title: AI Engineer

Location: Gurgaon (On-site)

Type: Full-Time

Experience: 2-6 Years

Role Overview

We are seeking a hands-on AI Engineer to architect and deploy production-grade AI systems that power our real-time voice intelligence suite. You will lead AI model development, optimize low-latency inference pipelines, and integrate GenAI, ASR, and RAG systems into scalable platforms. This role combines deep technical expertise with team leadership and a strong product mindset.

Key Responsibilities

• Build and deploy ASR models (e.g., Whisper, Wav2Vec2.0) and diarization systems for multi-lingual, real-time environments.
• Design and optimize GenAI pipelines using OpenAI, Gemini, LLaMA, and RAG frameworks (LangChain, LlamaIndex).
• Architect and implement vector database systems (FAISS, Pinecone, Weaviate) for knowledge retrieval and indexing.
• Fine-tune LLMs using SFT, LoRA, RLHF, and craft effective prompt strategies for summarization and recommendation tasks.
• Lead AI engineering team members and collaborate cross-functionally to ship robust, high-performance systems at scale.

Preferred Qualification

• 2-6 years of experience in AI/ML, with demonstrated deployment of NLP, GenAI, or STT models in production.
• Proficiency in Python, PyTorch/TensorFlow, and real-time architectures (WebSockets, Kafka).
• Strong grasp of transformer models, MLOps, and low-latency pipeline optimization.
• Bachelor's/Master's in CS, AI/ML, or related field from a reputed institution (IITs, BITS, IIITs, or equivalent).

What We Offer

• Compensation: Competitive salary + equity + performance bonuses
• Ownership: Lead impactful AI modules across voice, NLP, and GenAI
• Growth: Work with top-tier mentors, advanced compute resources, and real-world scaling challenges
• Culture: High-trust, high-speed, outcome-driven startup environment

Role Summary

We're seeking a part-time Freelance AI Specialist to support our growing portfolio of AI-driven projects. In this fully remote role, you'll be responsible for designing, implementing, and optimizing AI models that deliver real business value. You'll work closely with our development teams to translate complex problems into scalable AI solutions.

Key Responsibilities

• Design and implement AI solutions across diverse projects
• Analyze datasets to uncover insights and build predictive models
• Develop, train, and fine-tune machine learning algorithms
• Optimize existing AI models for performance and scalability
• Collaborate with internal teams to integrate AI into production systems
• Ensure code quality, documentation, and version control for deliverables

Qualifications

• Proven experience in AI/ML development, data analysis, and algorithm design
• Strong understanding of machine learning concepts, including neural networks
• Hands-on expertise with AI frameworks such as TensorFlow, PyTorch, or similar
• Excellent problem-solving, critical thinking, and analytical skills
• Ability to work independently and deliver on time in a remote setup
• Experience in full-stack or backend software development is a plus
• Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.
• Minimum 5 to 8 years of experience in same field are prefferable.

Why Work with Us?

• Work on meaningful projects with real-world business impact
• Flexible part-time freelance engagement - fully remote
• Collaborate with a forward-thinking, agile team
• Opportunity to grow your AI portfolio and apply your skills creatively

Job Title: AI Engineer

Want to join a startup, but with the stability of a larger organization? Join our innovation team at HGS that's focused on building SaaS products. If you are highly driven & passionate person who'd like to build highly scalable SaaS products in a startup type of environment, you're welcome to apply.

The HGS Digital Innovation Team is designed to create products and solutions relevant for enterprises, discover innovations and to contextualize and experiment with them within a specific industry. This unit provides an environment for the exploration, development, and testing of Cloud-based Digital AI solutions. In addition to that it also looks at rapid deployment at scale and sustainability of these solutions for target business impacts.

Job Overview

We are seeking an agile AI Engineer with a strong focus on both AI engineering and SaaS product development in a 0-1 product environment. This role is perfect for a candidate skilled in building and iterating quickly, embracing a fail fast approach to bring innovative AI solutions to market rapidly. You will be responsible for designing, developing, and deploying SaaS products using advanced Large Language Models (LLMs) such as Meta, Azure OpenAI, Claude, and Mistral, while ensuring secure, scalable, and high-performance architecture. Your ability to adapt, iterate, and deliver in fast-paced environments is critical.

Responsibilities

• Lead the design, development, and deployment of SaaS products leveraging LLMs, including platforms like Meta, Azure OpenAI, Claude, and Mistral.
• Support product lifecycle, from conceptualization to deployment, ensuring seamless integration of AI models with business requirements and user needs.
• Build secure, scalable, and efficient SaaS products that embody robust data management and comply with security and governance standards.
• Collaborate closely with product management, and other stakeholders to align AI-driven SaaS solutions with business strategies and customer expectations.
• Fine-tune AI models using custom instructions to tailor them to specific use cases and optimize performance through techniques like quantization and model tuning.
• Architect AI deployment strategies using cloud-agnostic platforms (AWS, Azure, Google Cloud), ensuring cost optimization while maintaining performance and scalability.
• Apply retrieval-augmented generation (RAG) techniques to build AI models that provide contextually accurate and relevant outputs.
• Build the integration of APIs and third-party services into the SaaS ecosystem, ensuring robust and flexible product architecture.
• Monitor product performance post-launch, iterating and improving models and infrastructure to enhance user experience and scalability.
• Stay current with AI advancements, SaaS development trends, and cloud technology to apply innovative solutions in product development.

Qualifications

• Bachelor's degree or equivalent in Information Systems, Computer Science, or related fields.
• 6+ years of experience in product development, with at least 2 years focused on AI-based SaaS products.
• Demonstrated experience in leading the development of SaaS products, from ideation to deployment, with a focus on AI-driven features.
• Hands-on experience with LLMs (Meta, Azure OpenAI, Claude, Mistral) and SaaS platforms.
• Proven ability to build secure, scalable, and compliant SaaS solutions, integrating AI with cloud-based services (AWS, Azure, Google Cloud).
• Strong experience with RAG model techniques and fine-tuning AI models for business-specific needs.
• Proficiency in AI engineering, including machine learning algorithms, deep learning architectures (e.g., CNNs, RNNs, Transformers), and integrating models into SaaS environments.
• Solid understanding of SaaS product lifecycle management, including customer-focused design, product-market fit, and post-launch optimization.
• Excellent communication and collaboration skills, with the ability to work cross-functionally and drive SaaS product success.
• Knowledge of cost-optimized AI deployment and cloud infrastructure, focusing on scalability and performance.

Dear Associate

Greetings from TATA Consultancy Services

Thank you for expressing your interest in exploring a career possibility with the TCS Family.

We have a job opportunity for AIML Engineer at Tata Consultancy Services at 14th June 2025.

Hiring For: AIML Engineer

Mandatory Skills: Python AI ML, MlOPs, Spark, Hadoop,PyTorch, TensorFlow,Matplotlib, Seaborn, Tableau, Power BI,scikit-learn, TensorFlow, XGBoost,AWS,Azure , AWS, Databricks,Pyspark, Python,SQL, Snowflake,

Walk in Location: Pune

Experience: 5-15 years

Mode of interview: in-person walk in drive

Date of interview: 14 June 2025

Venue : Zone 3 Auditorium, Tata Consultancy Services, Sahyadri Park, Rajiv Gandhi Infotech Park, Hinjewadi Phase 3, Pune - 411057

If you are interested in this exciting opportunity, Please share your updated resume on along with the additional information mentioned below:

Name:

Preferred Location:

Contact No:

Email id:

Highest Qualification:

Current Organization

Total Experience:

Relevant Experience:

Current CTC:

Expected CTC:

Notice Period:

Gap Duration:

Gap Details:

Attended interview with TCS in past(details):

Please share your I begin portal EP id if already registered:

Willing to attend walk in on 14th June: (Yes/No)

Note: only Eligible candidates with Relevant experience will be contacted further

Thanks & Regards,

Archana

Hiring Alert

CorroHealth is looking for AI Engineer for our product development team based out for Noida (NCR) Location

Candidates who are available for F2F rounds of interview at our Noida sector 142 office can only apply.

Only Immediate joiners preferred for this role

Job Description

Exp Range: 3-6 Years

Location: Noida

Job Summary

We are seeking a talented AI Engineer with expertise in building and deploying AI/NLP solutions using platforms like Microsoft Azure OpenAI and GPT models. The ideal candidate will have a strong background in Python/.NET, prompt engineering, and web development, coupled with experience in leveraging GenAI libraries, cloud infrastructure, and modern frameworks like LangChain. If you have a passion for creating cutting-edge AI applications and solving complex problems, we want to hear from you.

Key Responsibilities

• Develop and implement AI/NLP solutions leveraging platforms like Microsoft Azure OpenAI and GPT models.
• Build and optimize AI/ML pipelines using Python and libraries such as PyTorch, Pandas, Pydantic, and scikit-learn.
• Create, deploy, and maintain robust software solutions, ensuring scalability and reliability.
• Extract data from various sources (text, structured data, databases) and preprocess it for AI applications.
• Design and develop web applications using Python, Ubuntu, MySQL/PostgreSQL, HTML, and JavaScript.
• Work with IDEs such as PyCharm and Visual Studio Code to write, debug, and optimize code.
• Utilize frameworks like LangChain for developing AI workflows and solutions.
• Collaborate with team members to report progress, address challenges, and proactively contribute to project goals.
• Maintain version control and workflow management using JIRA, GitHub, and cloud infrastructure.

Qualifications and Skills

Required Skills:

• AI Expertise: Experience with Microsoft Azure OpenAI and GPT models.
• Programming: Proficiency in Python and/Java or .NET or Reactjs/Nodejs for AI and web development.
• Prompt Engineering: Knowledge of programming languages like Python and JavaScript for designing effective prompts.
• Web Development: Strong experience with Python/Ubuntu/MySQL/PostgreSQL/HTML/JavaScript for building web-based solutions.
• Libraries/Frameworks: Familiarity with Python libraries (e.g., PyTorch, Pandas, scikit-learn, Pydantic) and frameworks like LangChain.
• Data Processing: Expertise in extracting, cleaning, and processing data from diverse sources.
• Tools: Proficient with IDEs such as PyCharm and Visual Studio Code.
• Version Control: Knowledge of JIRA, GitHub, and cloud infrastructure for seamless development and deployment.
• Soft Skills: Strong communication, teamwork, and proactive problem-solving skills.

Preferred Skills:

• Experience with GenAI libraries and frameworks for natural language processing.
• Familiarity with building scalable AI workflows using LangChain.
• Hands-on experience with cloud platforms and managing AI workloads in cloud environments.

Interested candidates are invited to share their updated resumes at with below details

Total Exp:

Current CTC:

Expected CTC:

Notice Period:

Reason for change:

At CorroHealth, we want to assure all job seekers that we do not require any payment or monetary arrangement as a condition for employment. CorroHealth does not authorize any third party, agency, company, or individual to request money or financial contributions in exchange for a job opportunity. If you receive any request for payment or suspect fraudulent activity related to job applications at Corrohealth, please do not respond. Instead, contact us immediately at or report the incident to our Compliance Ho tline via orroHealth."

We're looking for an AI/ML Engineer who thrives in an agile environment. You'll contribute to advancing our AI-powered features for our UI Design tool. Join us to revolutionize UI ideation with AI!

Required Experience: 2 years

Key Responsibilities:

• Develop and integrate AI-powered features across our design tools.
• Fine-tune and train LLMs for domain-specific use cases.
• Build lightweight ML models (classification, tagging, generation assistants)
• Collaborate with our dev team (Node.js, jQuery) to implement AI APIs
• Contribute to system design for scalable, cost-efficient AI infrastructure

Required Skills:

• Knowledge of Python, TensorFlow and understanding of neural networks.
• Proven experience of training models for specific use cases.
• Strong experience with LLMs and prompt engineering
• Experience with machine learning platforms like Hugging face transformers, AWS Bedrock, etc.

Good to have:

• Experience with or Knowledge about UI/UX tools
• Background in generative AI for creative applications

Ready to build the next generation of AI design tools? Apply now!

Monk Outsourcing is a digital marketing service provider company that offers staffing solutions, software development, web development, content management solutions, and creative design services. Our team of experts works with modern technologies and tools to deliver web-based projects from concept to implementation.

This is a full-time on-site role for an Artificial Intelligence Engineer located in Noida. The AI Engineer will be responsible for tasks related to pattern recognition, neural networks, software development, and natural language processing (NLP) on a day-to-day basis.

• Pattern Recognition and Neural Networks skills
• Computer Science and Software Development skills
• Natural Language Processing (NLP) skills
• Experience in AI and machine learning projects
• Strong problem-solving and analytical skills
• Bachelor's or Master's degree in Computer Science or related field

Role: Generative AI Lead

Location : Mumbai, Pune, Bangalore, Chennai, Hyderabad, Kolkata

Toatal Exp - 12 to 16 yrs

Notice Period - immediate

We're looking for a passionate and skilled Generative AI Lead to join our GenAI CoE team. If you enjoy building intelligent applications with Large Language Models (LLMs), creating advanced chatbot experiences, and designing autonomous agent-based systems - we want to hear from you.

You'll work at the forefront of Generative AI, leveraging frameworks like CrewAI, LangChain, and LangGraph to build smart, scalable solutions that can automate tasks across the Software Development Life Cycle (SDLC), data engineering, and enterprise operations.

Key Responsibilities

• Build, fine-tune, and deploy LLM-powered applications (chatbots, agents, RAG pipelines)
• Design and implement autonomous agents using frameworks like CrewAI, LangChain, or LangGraph
• Integrate AI into real-world tools to automate workflows in SDLC and data pipelines
• Collaborate with product and data teams to deliver practical, high-impact AI solutions
• Write clean, scalable Python code to manage prompts, chains, memory, and orchestration logic
• Stay current with emerging GenAI technologies, conduct rapid prototyping, and contribute to research-based development
• Build microservices or APIs to serve AI models and integrate with enterprise systems
• Ensure responsible AI usage through data handling best practices, privacy, and ethical design

Must-Have Qualifications

• Proficient in Python and familiar with GenAI concepts
• Experience or strong interest in LLMs, chatbots, or agentic AI applications
• Hands-on knowledge of at least one GenAI framework: CrewAI, LangChain, LangGraph, etc.
• Willingness to learn and experiment with new models and frameworks
• Understanding of SDLC and data engineering automation use cases
• Ability to work in a fast-paced, research-oriented environment

Nice-to-Have Skills

• Experience deploying applications on AWS, Azure, GCP, or Snowflake
• Familiarity with retrieval-augmented generation (RAG), embeddings, or vector databases
• Understanding of model evaluation, prompt engineering, or system design for GenAI apps
• Exposure to containerization (Docker, Kubernetes) and CI/CD for AI apps
• Background in model safety, ethics, or AI observability is a plus

Role Overview:

As an AI Engineer, you will work closely with our product and development teams to build and deploy AI-driven applications with strong backend logic, data integration, and memory-aware agentic flows. This is a core on-site position, ideal for someone who thrives in a collaborative and fast-paced technical environment.

Key Responsibilities:

• Build and maintain production-grade applications using LangChain and LangGraph.

• Design and deploy Retrieval-Augmented Generation (RAG) pipelines using vector databases such as FAISS, Weaviate, Pinecone, or Qdrant.

• Create and manage embedding workflows using models like OpenAI, Cohere, HuggingFace Transformers, etc.

• Develop reusable Python modules for loading, chunking, embedding, and retrieving large document datasets (PDFs, HTML, Word, Email, etc.).

• Implement custom agent workflows using LangGraph for decision-based task execution.

• Optimize the performance, scalability, and reliability of LLM-driven features.

• Work with product and design teams to align AI solutions with real user problems.

• Maintain code quality with proper documentation, testing, and review processes.

• Stay updated with the latest developments in generative AI and LLM frameworks.

Required Skills and Experience:

• 4-5 years of experience in AI/ML or backend software engineering.

• Expertise in Python programming, RESTful APIs, and modular code design.

• Strong hands-on experience with LangChain, LangGraph, and agentic AI workflows.

• Deep understanding of vector search, semantic search, and embedding-based retrieval.

• Experience working with LLM APIs (OpenAI, Anthropic, Cohere, HuggingFace, etc.).

• Familiarity with cloud deployment (AWS/GCP), Docker, and basic DevOps practices.

• Exposure to real-time RAG systems or similar production applications.

• Strong debugging, problem-solving, and team collaboration skills.

Bonus / Nice to Have:

• Prior experience with LangSmith, MLflow, or LangServe.

• Contributions to open-source LangChain projects or similar frameworks.

• Background in data engineering or knowledge graph design.

• Familiarity with prompt engineering, memory, and multi-agent systems.

Educational Qualification:

• Bachelor's or Master's in Computer Science, Artificial Intelligence, Data Science, or related field.

What We Offer:

• Competitive salary based on experience.

• Opportunity to work on cutting-edge AI projects and products.

• Full-time, office-based role with high collaboration and ownership.

• Exposure to real-world enterprise use cases and clients.

• Supportive team environment focused on innovation and growth.

• Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions
• Design Generative AI, LLMs, and deep learning technologies

Required Skill Set

• Data Science AI/ML ,
• Java
• Python
• Generative AI
• Computer vision
• NLP

Job Description

• This position involves developing advanced image processing algorithms for the wafer inspection.
• Deep understanding and application knowledge on the machine learning and computer vision, familiar with major deep-learning architecture, like CNN, GAN, Transformer.
• Strong hands-on coding ability on either python or C++, experience with Linux is preferred.
• Familiarity with the major DL frameworks either TensorFlow or PyTorch
• Great teammate with excellent written and verbal communication skills.
• Experience of unsupervised machine learning, handling large data and anomaly detection is a bonus.
• Experience of deploying a ML/DL algorithm solution end-to-end is preferred.

Minimum Qualifications

• New college graduates in any of the following degree: Ph.D., Dual Degree, Masters, or Bachelors. (Candidates from EE, CS and Mathematics background would be preferred)
• The ideal candidate will have a working knowledge of Machine Vision.
• Knowledge of Deep Learning with working experience in Tensor Flow, Theano, PyTorch etc.
• Working experience in one or more of the following DL techniques: GANs, Auto Encoders, Semantic Segmentation,
• Ability to formulate problems into mathematical equations.

Apply now

Overview - We are hiring experienced AI Developers to lead the design, development, and scaling of intelligent systems using large language models (LLMs). This includes building prompt-based agents, developing and fine-tuning custom AI models, and architecting advanced pipelines across various business functions. You will work across the full AI development lifecycle-from prompt engineering to model training and deployment-while staying at the forefront of innovation in generative AI and autonomous agent frameworks.

Key Responsibilities: -

• Design and deploy intelligent agents using LLMs such as OpenAI GPT-4, Claude, Mistral, Gemini, Cohere, etc.
• Build prompt-driven and autonomous agents using frameworks like LangChain, AutoGen, CrewAI, Semantic Kernel, LlamaIndex, or custom stacks.
• Architect and implement multi-agent systems capable of advanced reasoning, coordination, and tool interaction.
• Incorporate goal-setting, sub-task decomposition, and autonomous feedback loops for agent self-improvement.
• Develop custom AI models via fine-tuning, supervised learning, or LoRA/QLoRA approaches using Hugging Face Transformers, PyTorch, or TensorFlow.
• Build and manage Retrieval-Augmented Generation (RAG) pipelines with vector databases like Pinecone, FAISS, Weaviate, or Chroma.
• Train and evaluate models on custom datasets using modern NLP workflows and distributed training tools.
• Optimize models for latency, accuracy, and cost efficiency in both prototype and production environments.
• Create and maintain testing and evaluation pipelines for prompt quality, hallucination detection, and model behavior safety.
• Integrate external tools, APIs, plugins, and knowledge bases to enhance agent capabilities.
• Collaborate with product and engineering teams to translate use cases into scalable AI solutions.

Required Technical Skills: -

• 3+ years hands-on experience with large language models, generative AI, conversational systems, or agent-based system development.
• Proficient in Python, with experience in AI/ML libraries such as Transformers, LangChain, PyTorch, TensorFlow, PEFT, and Scikit-learn.
• Strong understanding of prompt engineering, instruction tuning, and system prompt architecture.
• Experience with custom model training, fine-tuning, and deploying models via Hugging Face, OpenAI APIs, or open-source LLMs.
• Experience designing and implementing RAG pipelines and managing embedding stores.
• Familiarity with agent orchestration frameworks, tool integration, memory handling, and context management.
• Working knowledge of containerization (Docker), MLOps, and cloud environments (AWS, GCP, Azure).

Preferred Experience: -

• Exposure to distributed training (DeepSpeed, Accelerate), quantization, or model optimization techniques.
• Familiarity with LLM evaluation tools (Trulens, LM Eval Harness, custom eval agents).
• Experience with RLHF, multi-modal models, or voice/chat integrations.
• Background in data engineering for building high-quality training/evaluation datasets.
• Experience with self-healing agents, auto-reflection loops, and adaptive control systems.

Shift Timing: Night Shift (Fixed timing will be disclosed at the time of joining)

About Holiday Tribe

Holiday Tribe is a Great Place To Work Certified , seed-stage VC-funded travel-tech brand based in Gurugram. We specialize in crafting unforgettable leisure travel experiences by integrating advanced technology, leveraging human expertise, and prioritizing customer success.

With holidays curated across 30+ destinations worldwide, partnerships with renowned tourism boards, and recognition as the Emerging Holiday Tech Company at the India Travel Awards 2023, Holiday Tribe is transforming the travel industry.

Our mission is to redefine how Indians experience holidays making travel planning faster, smarter, and more personalized, ensuring every trip is truly seamless and unforgettable.

The Role

We are seeking a talented AI Engineer to join our growing engineering team and play a pivotal role in building our AI-first travel platform. You will be responsible for designing, developing, and deploying AI systems that power personalized travel recommendations, intelligent itinerary generation, and our innovative sales assistant tools. This is a unique opportunity to shape the future of travel technology while working with state-of-the-art AI capabilities.

Key Responsibilities:

AI System Development

• Design and implement Retrieval Augmented Generation (RAG) systems for travel recommendation and itinerary planning
• Build and optimize large language model integrations using frameworks like LangChain for travel-specific use cases
• Develop semantic search capabilities using vector databases and embedding models for travel content discovery
• Create tool-calling architectures that enable AI agents to interact with booking systems, inventory APIs, and external travel services
• Implement intelligent conversation flows for customer interactions and sales assistance

Travel Intelligence Platform

• Build personalized recommendation engines that understand traveler preferences, seasonal factors, and destination characteristics
• Develop natural language processing capabilities for interpreting customer travel requests and preferences
• Implement real-time itinerary generation systems that consider multiple constraints (budget, time, preferences, availability)
• Create AI-powered tools to assist travel experts in creating customized packages faster
• Build semantic search engines for finding relevant travel content based on user intent and contextual understanding

AI Agent & Tool Integration

• Design and implement function calling systems that allow LLMs to execute actions like booking confirmations, inventory checks, and pricing queries
• Build multi-agent systems where specialized AI agents handle different aspects of travel planning (accommodation, transportation, activities)
• Create tool orchestration frameworks that enable AI systems to chain multiple API calls for complex travel operations
• Implement safety and validation layers for AI-initiated actions in critical systems

Data & Model Operations

• Work with travel knowledge graphs to enhance AI understanding of destinations, accommodations, and activities
• Implement hybrid search systems combining semantic similarity with traditional keyword-based search
• Build vector indexing strategies for efficient similarity search across large travel content databases
• Implement model evaluation frameworks to ensure high-quality AI outputs
• Optimize AI model performance for cost-efficiency and response times
• Collaborate with data engineers to build robust data pipelines for AI training and inference

Cross-functional Collaboration

• Partner with product teams to translate travel domain requirements into AI capabilities
• Work closely with backend engineers to integrate AI services into the broader platform architecture
• Collaborate with UX teams to design intuitive AI-human interaction patterns
• Support sales and customer success teams by improving AI assistant capabilities

Required Qualifications:

Technical Skills

• 3+ years of experience in AI/ML engineering with focus on natural language processing and large language models
• Strong expertise in RAG (Retrieval Augmented Generation) systems including vector databases, embedding models, and retrieval strategies
• Hands-on experience with LangChain or similar LLM orchestration frameworks, including tool calling and agent patterns
• Proficiency with semantic search technologies including vector databases, embedding models, and similarity search algorithms
• Experience with tool calling and function calling in LLM applications, including API integration and action validation
• Proficiency with major LLM APIs (OpenAI, Anthropic, Google, etc.) and understanding of prompt engineering best practices
• Experience with vector databases such as Milvus, Weaviate, Chroma, or similar solutions
• Strong Python programming skills with experience in AI/ML libraries (transformers, sentence-transformers, scikit-learn)

AI/ML Foundation

• Solid understanding of transformer architectures, attention mechanisms, and modern NLP techniques
• Deep knowledge of embedding models and semantic similarity techniques (sentence transformers, dense retrieval methods)
• Experience with hybrid search architectures combining dense and sparse retrieval methods
• Knowledge of fine-tuning approaches and model adaptation strategies
• Understanding of agent-based AI systems and multi-step reasoning capabilities
• Understanding of AI evaluation metrics and testing methodologies
• Familiarity with MLOps practices and model deployment strategies

Software Engineering

• Experience building production-grade AI applications with proper error handling and monitoring
• Experience with API integration and orchestration for complex multi-step workflows
• Understanding of API design and microservices architecture
• Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services
• Experience with version control, CI/CD, and collaborative development practices

Preferred Qualifications:

Advanced AI Experience

• Experience with multi-modal AI systems (text, images, structured data)
• Advanced knowledge of agent frameworks (LangGraph, CrewAI, AutoGen) and agentic workflows
• Experience with advanced semantic search techniques including re-ranking, query expansion, and result fusion
• Experience with model fine-tuning, especially for domain-specific applications
• Knowledge of tool use optimization and function calling best practices
• Understanding of AI safety, bias mitigation, and responsible AI practices

Technical Depth

• Experience with advanced RAG techniques (hybrid search, re-ranking, query expansion, contextual retrieval)
• Knowledge of vector search optimization including indexing strategies, similarity metrics, and performance tuning
• Experience building tool-calling systems that integrate with external APIs and services
• Knowledge of graph databases and knowledge graph construction
• Familiarity with conversational AI and dialogue management systems
• Experience with A/B testing frameworks for AI systems

Company Description

As a burgeoning tech hub, Hyderabad is the canvas where tradition meets innovation. At Piazza Consulting Group, we champion this fusion, driving the future of business consultancy. We're inviting you - the game-changers and tech enthusiasts - to be a part of our dynamic Innovation Hub in Hyderabad. If you're fueled by the challenges of intricate business problems and are keenly interested in Machine Learning technologies, we're looking for you.

Role Description

This is a full-time hybrid role for an AI Engineer at Piazza Consulting Group in Hyderabad. The AI Engineer will design, develop, and deploy advanced AI solutions, focusing on Large Language Models and natural language processing. Responsibilities include building and fine-tuning LLMs, integrating AI-driven solutions with business applications, and collaborating with cross-functional teams to deliver scalable software. The role also involves staying ahead of AI advancements, optimizing model performance, and ensuring robust testing and debugging.

Qualifications

• Expertise in Large Language Models (LLMs) and transformer architectures
• Proficiency in Natural Language Processing (NLP) techniques
• Strong foundation in Computer Science and Software Development
• Experience with programming languages like Python, Java, or C++
• Familiarity with AI frameworks such as TensorFlow, PyTorch, or Hugging Face Transformers
• Knowledge of model fine-tuning, prompt engineering, and embeddings
• Exceptional problem-solving and analytical skills
• Strong communication and teamwork capabilities
• Master's or PhD in Computer Science, AI, Data Science, or a related field

Preferred Qualifications

• Experience deploying LLMs and AI models in production environments
• 5-10 years of experience in Software Engineering or AI development
• Expertise with cloud platforms (AWS, Azure, GCP) for AI workloads
• Familiarity with MLOps practices for model lifecycle management
• Proven ability to collaborate in multidisciplinary teams with excellent communication skills

Industry

• Product, Business Consulting and AI-Driven Services

Experience Level: 6-8+ Years

Location: Remote, India

Employment Type: Full-time

No. of Positions: 1

Job Overview:

We are seeking a dynamic and technically strong AI Lead with 6-8 years of industry experience, including a minimum of 5 years in AI/ML and Conversational AI technologies, with a specific focus on Microsoft's AI ecosystem. The ideal candidate will lead the design, development, and delivery of intelligent solutions using Azure OpenAI, Copilot Studio, Microsoft Bot Framework, and AI Foundry.

The individual will act as a hands-on technical lead, collaborating closely with product teams, architects, and business stakeholders to build impactful AI-powered copilots, chatbots, and enterprise automation solutions.

Key Responsibilities:

• Lead end-to-end technical implementation of AI-driven projects using Microsoft AI tools: Azure OpenAI, Copilot Studio, and Bot Framework.
• Design and develop intelligent copilots, multi-turn chatbots, and custom GPT solutions integrated within enterprise tools such as Microsoft Teams, SharePoint, and Dynamics 365.
• Translate business requirements into technical architecture and AI flows using OpenAI APIs, prompt engineering, and integration with enterprise systems.
• Leverage AI Foundry to manage the AI lifecycle including model selection, deployment, monitoring, and optimization.
• Architect AI/ML solutions that use Retrieval-Augmented Generation (RAG), semantic search, and contextual memory frameworks (LangChain, Semantic Kernel, etc.).
• Collaborate with product owners and business analysts to identify high-value use cases and define solution roadmaps.
• Develop and execute POCs and MVPs with hands-on coding, configuration, and orchestration of LLMs and chatbot pipelines.
• Integrate with enterprise data sources via APIs, GraphQL, and Microsoft Graph to create holistic user experiences.
• Mentor junior developers and work with DevOps teams to ensure stable deployment, CI/CD, and performance monitoring.
• Create documentation and reusable components/templates for repeated use across the organization.
• Stay current on Microsoft's AI advancements and recommend tools, features, or practices that improve time-to-value and performance.

Must-Have Skills:

• 6-8 years of overall experience, including 5+ years in AI/ML or Conversational AI
• Deep hands-on knowledge of:
• Azure OpenAI services and APIs
• Copilot Studio for building Microsoft 365-integrated assistants
• Microsoft Bot Framework SDK/Composer for chatbot development
• Prompt engineering for LLM optimization
• Strong Python or Node.js development skills (for AI orchestration and integration)
• Experience with enterprise system integration using APIs (Microsoft Graph, REST, JSON, OAuth)
• Familiarity with Azure ML, Azure Cognitive Services, and Azure DevOps
• Ability to design RAG-based architectures, manage embeddings, and leverage vector databases (e.g., Azure AI Search)
• Strong understanding of natural language processing (NLP) and foundational models (GPT, BERT)
• Excellent communication, leadership, and stakeholder engagement capabilities

Good-to-Have Skills:

• Experience with Semantic Kernel or LangChain
• Working knowledge of AI Foundry for orchestrating AI pipelines
• Familiarity with Copilot extensibility and Teams App Studio
• Exposure to M365 Copilot APIs and custom plugin creation
• Knowledge of Responsible AI, data security, and compliance principles
• Familiarity with containerized deployment (Docker, Kubernetes)
• Experience in building dashboards and analytics (Kibana, Grafana) to visualize bot usage and performance
• Basic understanding of Power Platform (Power Automate, Power Apps) and its integration with AI

Job Scope:

Lead the research, design, and development of advanced AI and ML models powering a cutting 1 edge AI-driven no-code development platform and a scalable AI inference and training orchestration system. Responsible for building scalable ML pipelines, optimizing models for production, mentoring team members, and translating research innovations into impactful product features aligned with business goals.

Job Responsibilities:

• Design and implement state-of-the-art machine learning and deep learning models for NLP, computer vision, and generative AI relevant to no-code AI coding and AI orchestration platforms.

• Develop, optimize, and fine-tune large-scale models, including transformer-based architectures and generative models.

• Architect and manage end-to-end machine learning pipelines: data processing, training, evaluation, deployment, and continuous monitoring.

• Collaborate closely with software engineering teams to productionize models ensuring reliability, scalability, and performance.

• Research and integrate cutting-edge AI techniques and algorithms to maintain product competitiveness.

• Lead AI research efforts contributing to intellectual property generation, patents, and academic publications.

• Provide technical leadership and mentorship to junior AI/ML team members.

• Collaborate cross-functionally with product managers, UX designers, and engineers to deliver AI-powered product features.

• Maintain up-to-date knowledge of AI research trends and technologies, assessing their applicability.

• Ensure compliance with data privacy and security standards in AI model development.

Good to have skills:

• Experience with AI-driven no-code platforms or automated code generation.

• Familiarity with AI workflow orchestration frameworks like LangChain, Crew AI, or similar.

• Knowledge of probabilistic modeling and uncertainty quantification.

• Hands-on experience with MLOps tools and practices including CI/CD, model versioning, and monitoring.

• Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes).

• Contributions to open-source AI projects or patent filings.

• Understanding of AI ethics, data privacy (GDPR, SOC2) compliance.

• Strong academic research background with publications in top-tier AI/ML conferences.

Qualification and Experience:

• PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields with a specialization in Artificial Intelligence, Machine Learning, or Deep Learning.

• Strong research publication record in reputed AI/ML conferences (NeurIPS, ICML, ICLR, CVPR, ACL).

• Demonstrated experience in developing and deploying deep learning models including transformers, CNNs, RNNs, GNNs, and generative AI models.

• Proven skills in NLP and/or computer vision.

• Hands-on experience with Python and ML frameworks such as PyTorch, TensorFlow, JAX.

• Experience building scalable ML pipelines and applying MLOps best practices.

• Knowledge of distributed training, GPU acceleration, and cloud infrastructure is highly desirable.

• Excellent problem-solving, analytical, and communication skills.

• Experience mentoring or leading junior AI researchers/engineers is a plus.

• Prior exposure to AI-driven no-code platforms, AI orchestration frameworks, or automated code generation technologies is beneficial.

Job Title: Data Scientist and LLM Operations Specialist

Position Overview: We are seeking a highly skilled Data Scientist and LLMOps Resource to play a pivotal role in the development, expansion, operation, and maintenance of generative AI solutions. The primary responsibilities include running an experimental framework to determine the optimal prompt engineering approaches, tuning prompts, and collaborating with subject matter experts (SMEs) for evaluations and results. This role requires a deep understanding of evaluating models output in production, particularly when ground metrics are absent, monitoring for issues such as model drift and hallucinations, and optimizing for offline and online metrics.

Total Experience required: 4-6 years

Location: PAN India

Key Responsibilities:

• Scope, develop, expand, operate, and maintain scalable, reliable and safe generative AI solutions.
• Design and execute prompt engineering experiments to optimize Large Language Models (LLMs) for various use cases.
• Collaborate with SMEs to evaluate prompt effectiveness and align AI solutions with business needs.
• Understand and apply offline and online evaluation metrics for LLMs, ensuring continuous model improvements.
• Evaluate production models using live data in the absence of ground metrics, implementing robust monitoring systems.
• Monitor LLM applications for model drift, hallucinations, and performance degradation.
• Ensure smooth integration of LLMs into existing workflows, providing real-time insights and predictive analytics.

Qualifications For AI/ML Engineer:

• Solid experience in business analytics, data science, software development, and data engineering.
• Expertise in Python and frameworks such as PyTorch, TensorFlow, or ONNX.
• Hands-on experience working with LLMs and Generative AI, including model development and inference patterns.
• Proven ability to design scalable systems leveraging LLMs, particularly in distributed computing environments.

Preferred Skills:

• Experience in prompt engineering and prompt optimization.
• Expertise in running experiments to evaluate generative AI performance.
• Knowledge of production-level monitoring tools for ML models, including drift detection and mitigation strategies.
• Excellent problem-solving skills and ability to work cross-functionally with data scientists, engineers, and SMEs.
• Experience with safety, security and responsible use of AI.
• Experience with red-teaming (adversarial testing) of generative AI.
• Experience with developing AI applications with sensitive data such as PHI, PII and highly confidential data.

Best reqpedia Tech Talent Recruitment

Welcome to Reqpedia, where opportunities meet talent! Find your dream job or discover the perfect candidate for your company Our platform connects employers.

Company Description

PERSPECTIV LABS, located in Bengaluru, specializes in AI Computer Vision, Machine Learning, and 3D technologies with over 15 years of experience. They are renowned for their expertise in industrial and retail Computer Vision and Artificial Intelligence Solutions, providing cutting-edge solutions to various industries.

Role Description

This is a full-time remote role for an Artificial Intelligence Engineer at PERSPECTIV LABS. The AI Engineer will be responsible for tasks such as pattern recognition, neural networks, LLVM, software development, and natural language processing. The role is based in Bengaluru with flexibility for some remote work.

Qualifications

• Pattern Recognition, Neural Networks, and Software Development skills
• Good working knowledge of OpenCV & Similar vision libraries.
• Vision Systems hands on development experience.
• Industrial vision systems knowledge is a plus.
• Strong background in Computer Science.
• Proficiency in programming languages such as Python, Java and C++
• Ability to work collaboratively in a team environment
• Excellent problem-solving and analytical skills
• BTech or Master's in Computer Science.
• 1-3 years of Hands on Experience desired.

Challenge for the Engineers applying.

Those interested to apply, have to solve the below challenge.

Please fill in the questionnaire once challenge response is submitted in the git.

Industry

• Software Development

Employment Type

Full-time

Job Title: AI Engineer

Experience Level: 2+ Years Minimum

Location: HSR Layout- Bangalore

Employment Type: Full-time

About the Role:

We are looking for a passionate and skilled AI Engineer with a strong background in Machine Learning, Natural Language Processing, and hands-on experience in fine-tuning Large Language Models (LLMs). You will play a key role in developing, customizing, and deploying advanced language models, leveraging cloud platforms like AWS and Google Cloud (GCP) to build scalable and efficient AI systems.

Responsibilities:

• Fine-tune and optimize Large Language Models (e.g., LLaMA, Mistral, GPT, Falcon) for specific tasks and domains.
• Design and implement ML pipelines for training, validation, and deployment.
• Evaluate model performance using appropriate metrics and improve them iteratively.
• Preprocess and manage large-scale textual datasets for training and inference.
• Collaborate with cross-functional teams.
• Stay updated with the latest developments in LLMs, NLP, and ML research.

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or related field.
• Must have 2+ years of hands-on experience in ML and NLP projects.
• Proven experience in fine-tuning LLMs using frameworks like Hugging Face Transformers, PEFT, and DeepSpeed.
• Proficiency in Python and ML/NLP libraries such as PyTorch, TensorFlow, scikit-learn, spaCy, etc.
• Proficiency in using AWS (e.g., S3, EC2, SageMaker) or GCP (e.g., Vertex AI, Compute Engine, GCS) for model training and deployment.
• Experience working with text embeddings, tokenization strategies, prompt engineering, and custom dataset creation.
• Familiarity with model evaluation, explainability techniques, and bias/fairness considerations in NLP.
• Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment.

Preferred Skills (Nice to Have)

• Experience with distributed training and optimization (e.g., using FSDP, DeepSpeed).
• Knowledge of vector databases and semantic search.

At Rayvector, we are looking for talented AI / ML / Computer vision developers who can create cutting-edge ML solutions.

Our ideal candidate will have 2-3 years of experience in Computer vision, strong knowledge of the relevant frameworks, and the analytical skills to solve the problems at hand.

Working across many different departments, this role requires a candidate with a proactive attitude and a good team ethic to unify a common vision.

Responsibilities

• Convert the machine learning models into application program interfaces.
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate the infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure.
• Maintain and improve our existing in-house algorithms and models, including continuous evaluation, fine-tuning
• Optimize algorithm performance across a wide range of development platforms
• Develop evaluation scripts to process and accurately measure algorithmic and end-to-end performance

Qualifications

• Bachelor's or Masters's degree in Computer Science / Mathematics / Applied Mathematics.
• Minimum of 2-3 years of industry experience.

Key Skills

• Strong Python programming experience, familiarity with software development best practices, debugging/profiling
• Experience with OpenCV, PIL, and other image-processing libraries
• Experience with at least one mainstream deep learning framework such as PyTorch and TensorFlow
• Familiarity with data science toolkits such as jupyter lab/notebooks, pandas, bash scripting, Linux environment
• Hands-on experience with different neural network architectures/modules. Experience with CNNs is a plus
• Excellent problem-solving skills.
• Good communication skills

Location: India (Multiple Locations)

Job Type: Full-time

Introduction: We are looking for a passionate and talented Researcher to join Infosys Applied AI research team. As an Researcher, you will work on architecting, building, refining, and optimizing state-of-the-art Models that drive cutting-edge multi-modal, multi-domain understanding and generation capabilities. If you have experience building LLM/SLM/Multimodal models, we would love to hear from you.

Key Responsibilities:

• Design, develop, and train transformer-based models for multiple-modality to support a variety of AI-powered applications.
• Experiment with various architectures, training techniques, and optimization methods to improve the model's understanding and generative capabilities.
• Innovate robust and scalable architectures to accommodate the future requirements.
• Troubleshoot and debug model issues, ensuring the models remain robust and adaptable.

Qualifications:

Experience- 8+ yrs

• Master's degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields (Ph.D. preferred).
• Proven experience in training models (both text and multi-modal models).
• Strong knowledge of transformer architectures and their underlying principles.
• Experience with model pre-training, finetuning and distributed training.
• One or more scientific publication submissions for conferences, journals, or public repositories (e.g., ICML, ICLR, NeurIPS).

Why Join Us?:

• Work with an innovative team on cutting-edge projects that are pushing the boundaries of artificial intelligence.
• Opportunity to grow professionally and contribute to groundbreaking advancements in NLP and AI.
• Competitive compensation and benefits package.

Bangalore preferred but flexible on Location Flexible work environment,

hashtag : AI Engineer (4+ Years Experience) Chennai Immediate Joiners Preferred

Location: Chennai, India

Experience: 4+Years

Notice period: Immediate to 15days

Skills Highlighted: Generative hashtag , hashtag , hashtag , hashtag , hashtag , hashtag , hashtag

hashtag :

- Four or more years of experience in applying AI to practical and comprehensive technology solutions

- Experience with Generative hashtag , hashtag , hashtag , hashtag , hashtag , hashtag , hashtag .

- Experience in program leadership, governance, and change enablement

- Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns

- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

If interested kindly share your updated CV to

Please reach out to me in WhatsApp for more details #:

Skills : Applied Research , Architect and Innovation

Experience : 5 - 12 yrs

Location : Bangalore and Hyderabad

Job Description:

Key Responsibilities:

• Research & Innovation:

Conduct applied research in generative AI, foundation models, NLP, computer vision, and multimodal AI. Stay abreast of the latest publications and open-source advancements.

• Model Development:

Fine-tune, evaluate, and optimize large language models (LLMs), transformers, and other generative models for specific business and product use cases.

• Prototyping & Experimentation:

Build proof-of-concepts and experimental systems that demonstrate the potential of GenAI across domains such as content generation, summarization, synthetic data, agent systems, etc.

• Data & Evaluation Pipelines:

Design robust data pipelines, evaluation metrics, and benchmarking systems to validate model performance, safety, and bias.

• Collaboration:

Work with cross-functional teams including product managers, ML engineers, and data scientists to translate research into production-grade systems.

• Open Source & IP Contribution:

Publish findings in peer-reviewed venues, contribute to open-source projects, or generate intellectual property relevant to the business.

Required Qualifications:

• 5-7 years of experience in machine learning or applied AI roles, with at least 2-3 years working on generative models or related research.
• Strong foundation in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• Experience with LLMs (e.g., GPT, LLaMA, Claude), diffusion models, or vision-language models.
• Proficient in Python and ML tools/libraries such as Hugging Face Transformers, LangChain, or similar.
• Understanding of responsible AI practices, bias mitigation, and model explainability.
• Master's or PhD in Computer Science, Machine Learning, Mathematics, or related fields.

Preferred Qualifications:

• Experience with open-source LLMs or fine-tuning techniques like LoRA, PEFT, RLHF, etc.
• Knowledge of MLOps practices and deployment of models in production (e.g., via Kubernetes, Ray, Triton).

Greetings from TCS.

TCS is Hiring For AI Engineer

Experience: 9-14 years

Relevant Experience: 9-14 years

WORK Location: PAN India

Job Description-

Must Have

• 9- 14 years of IT experience
• Strong programming skills in Python
• Expertise in machine learning is a must. In depth knowledge of various machine learning models and techniques; deep learning, supervised and unsupervised learning, natural language processing, and reinforcement learning.
• Expertise in data analysis and visualization to extract insights from large datasets and transmit them virtually. Good knowledge on data mining, statistical methods, data wrangling, and visualization tools like Power BI, Tableau and matplotlib.
• Hands on skills in Data Manipulation Language.
• Expertise in various machine learning frameworks - TensorFlow, Scikit-Learn and PyTorch.

Good to Have -

• Gen AI Certification
• Experience in Containers (Docker), Kubernetes, Kafka (or other messaging platform), Apache Camel, RabbitMQ, Active MQ, Storage / RDBMS and No-SQL databases etc

About The Role

We are setting up our AI department at go4WorldBusiness to build next-generation, AI-powered products that transform how global businesses connect. We're looking for exceptionally smart, fast learners with strong programming skills and excellent communication to join our team as AI Engineers.

You don't need to be an AI expert (yet!) - we'll teach you that. What we need is someone with curiosity, clarity of thought, and an eagerness to work on the cutting edge of technology. If you enjoy problem-solving, writing clean code, and can communicate your ideas clearly, you'll fit right in.

Position: AI Engineer

Experience: 1-3 years of hands-on experience in software development (Python preferred)

What You'll Do Most Of The Time

• Work closely with our AI team to build and ship internal tools and user-facing features powered by large language models and other AI technologies.
• Experiment with prompt engineering and refine interactions with AI models to drive business outcomes.
• Collaborate with cross-functional teams to define AI product features and deliver solutions that solve real-world problems.
• Learn and apply the latest AI and machine learning techniques to build scalable and impactful systems.
• Continuously prototype, test, and improve solutions based on business feedback.
• Communicate progress, blockers, and insights proactively to peers and stakeholders.
• Stay curious and up-to-date with developments in AI, programming, and product development.

What You'll Need To Qualify

• Strong communication and critical thinking skills - you're comfortable articulating technical and non-technical ideas clearly.
• Proficiency in one modern programming language (preferably Python).
• Ability to write clean, maintainable code and quickly understand new codebases.
• A proven track record of learning fast and solving hard problems - whether through academic projects, side gigs, or work experience.
• Bachelor's degree in Computer Science, Engineering, or a related field.

Preferred Skills

You don't need to know all of these - but be excited to learn what you don't:

• Experience using Python libraries for data processing (e.g., Pandas, NumPy)
• Familiarity with OpenAI, LangChain, or similar LLM-based tools
• Exposure to web development frameworks (Flask, FastAPI, etc.)
• Understanding of REST APIs and how to integrate them
• Interest in data science, ML pipelines, or vector databases
• Prior work or projects involving chatbots, recommendation systems, or automation

Other Must-Have Skills

• Excellent communication and time management
• Attention to detail and ability to troubleshoot creatively
• Clear thinking and structured problem-solving
• Drive to meet deadlines and deliver high-quality work

What You'll Get

• Opportunity to be part of an AI team working on game-changing tools and products
• Hands-on mentorship and growth into advanced AI concepts and tools
• 5-day work week
• Annual loyalty bonus
• Six-monthly profit sharing bonus
• PF and Gratuity

About The Company

go4WorldBusiness is revolutionizing the international B2B import-export industry. If you're excited about working at the intersection of AI and global trade, and want to build products used by millions, this is your chance.

We offer industry-best salaries and perks, including annual loyalty and six-monthly profit sharing bonuses.

If you're smart, driven, and looking to work on AI that matters - apply now!

About Eximietas:

Eximietas, a technology services and solutions company headquartered in San Jose, CA with a global footprint that extends to Bangalore, Chennai and Bhubaneswar in India. Eximietas Design is a leading technology firm specializing in VLSI/Embedded SW/Cloud Computing/Cyber Security/AI/ML solutions. With a commitment to innovation and excellence, we empower businesses to thrive in the dynamic digital landscape. Our success is fueled by the expertise of our engineering leadership team, drawn from industry giants such as Google, Cisco, Microsoft, Oracle, Uber, Broadcom, and Sun.

Job Overview:

Job Title: AI Data Engineer

Location: Bengaluru

Notice period: 0-15Days (Immediate)

Experience: 3- 7years

Responsibilities:

Develop, fine-tune, and deploy large language models (LLMs) to meet specific

operational needs.

Implement classification, retrieval, and generation tasks using advanced AI/ML

techniques.

Utilize and innovate on top of foundation model APIs, retrieval-augmented generation

(RAG), and prompt engineering strategies.

Conduct efficient nearest-neighbor searches using Faiss in large-scale retrieval

systems.

Enhance and develop NLP functionalities, including but not limited to text-to-speech

(TTS) and speech-to-text (STT) applications.

Manage datasets using the Hugging Face Transformers and Datasets libraries,

ensuring robust data handling for training and inference.

Optimize configuration and experiment tracking with tools such as Hydra and

Weights & Biases.

Maintain and improve code quality, including version control using Git and GitHub.

Work collaboratively in a team environment to design, develop, and review

codebases for AI applications.

Handle data manipulation tasks proficiently with a strong grasp of libraries such as

Pandas and NumPy.

Operate and manage remote servers for the continuous development and

deployment of AI models.

About Jivi

Jivi is transforming primary healthcare with an AI-powered clinical agentic platform designed for 8 billion people. Our flagship product, a super health app, combines an AI doctor and longevity coach. It provides a full-stack solution covering sickness, prevention, and wellness. In just six months, 500,000 users from 170+ countries have already used Jivi.

The company was founded by Ankur Jain (BharatPe, WalmartLabs, Stanford), GV Sanjay Reddy (Reddy Ventures, Aragen), and Andrew Ng 's AI Fund (Coursera, DeepLearning). Together, they bring deep expertise in AI, medicine, and scaling billion-dollar ventures.

Jivi is powered by groundbreaking research in Large Language Models (LLMs). Our MedX model is ranked globally, surpassing OpenAI and Google Gemini in diagnostic accuracy. Additionally, our AudioX model boasts the lowest word error rate for Indic languages. Jivi's health knowledge base, one of the largest in the world, plays a key role in training these models. In the spirit of fostering innovation, we've open-sourced these models on Hugging Face for the AI community.

Jivi has been recognized for its innovation with awards such as the NASSCOM's Digital Adoption Pioneer Award and the IndiaAI Mission Award. We are proud to be a global leader in AI healthcare.

Job Overview

In this role, you will design and implement AI algorithms, develop machine learning models, and contribute to the core AI technology powering our healthcare solutions. You will be responsible for analyzing large datasets to extract meaningful insights, which will inform healthcare decisions and improve patient outcomes. As an AI Applied Researcher, you will play a pivotal role in advancing the impact of AI in healthcare.

Key Responsibilities

• AI/ML Model Development: Design, develop, and deploy machine learning or large language (LLM) models
• Strong Analytical Skills: Apply your analytical expertise to extract actionable insights from complex datasets and leverage AI to address real-world problems.
• Data Analysis and Preprocessing: Handle data collection, cleaning, preprocessing, and exploratory data analysis to ensure data readiness and quality for modeling.
• Model Evaluation and Validation: Assess model performance using relevant metrics and validate outcomes through comprehensive testing.
• Collaboration: Work collaboratively with cross-functional teams, including data engineers, software developers, and domain experts, to understand requirements and deliver impactful solutions.
• Healthcare Domain Knowledge (Optional): While not mandatory, a background in healthcare, medical imaging, or related fields is a valuable asset.

Technical Skills

• Programming Skills: Proficiency in Python, with experience in AI/ML frameworks such as TensorFlow, PyTorch, and Hugging Face. Familiarity with TensorRT and NVIDIA Triton Server is a plus.
• Model Expertise: Deep experience with Convolutional Neural Networks (CNNs), diffusion models, transformers, as well as segmentation, object detection, and classification models, including CLIP or similar models.
• Multimodal Proficiency: Strong knowledge and experience with large language models (LLMs) and multimodal AI approaches.
• Algorithmic Understanding: Comprehensive understanding of a wide array of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning techniques.

Experience & Qualifications

• Work Experience: At least 3+ years of proven experience as an AI researcher/engineer or in a data science role
• Education: Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent work experience).

Why Work with Jivi?

• Make a Global Impact: Shape AI-driven healthcare solutions that transform billions of lives and revolutionize global wellness.
• Accelerate Your Career: Enjoy competitive salaries, growth opportunities, and the chance to take on leadership roles as Jivi scales.
• Lead in a High-Growth Environment: Own key initiatives, influence company strategy, and drive impactful health projects in a dynamic, fast-paced setting.
• Collaborate with the Best: Work alongside top professionals in AI and healthcare, learn from experts, and contribute to breakthrough innovations.

Jivi's Products:

Jivi is available as a mobile app or as an AI assistant on WhatsApp. You can access Jivi:

• iOS app
• Android app
• WhatsApp

Jivi in Media:

• Economic Times -
• Reuters -
• Inc42 -
• Many more -

Role Overview:

We are looking for an AI Engineer with a strong foundation in Python and modern AI frameworks to help design, build, and deploy scalable Gen-AI applications. The ideal candidate will have experience in working with FastAPI, LangChain, and related frameworks, and be comfortable integrating AI models in production environments.

Key Responsibilities:

• Develop and deploy AI/Gen-AI applications using Python, FastAPI, and LangChain/Langraph.
• Integrate with MCP (Model Configuration Platform) or similar orchestration tools for scalable deployments.
• Collaborate with cross-functional teams to understand project requirements and deliver high-quality AI solutions.
• Optimize model performance, monitor deployments, and manage model lifecycle in production.
• Stay up to date with the latest trends and advancements in the AI/ML and Gen-AI space.

Required Skills & Experience:

• 2-3 years of experience in Python development, with a focus on AI/ML projects.
• Hands-on experience with FastAPI for building APIs and backend services.
• Working knowledge of LangChain, LangGraph, or similar Gen-AI frameworks.
• Experience with MCP or equivalent model orchestration/configuration platforms.
• Familiarity with prompt engineering, vector stores, and LLM integration is a plus.
• Strong problem-solving and debugging skills.

Job Title: Software Engineer (Azure AI, Cognitive Services, Machine Learning, IoT)

Location: Hyderabad Job Type: Full-time Experience Level: Mid/Senior

Job Description:

We are seeking a highly skilled and motivated Software Engineer with expertise in Azure AI, Cognitive Services, Machine Learning, and IoT. The ideal candidate will design, develop, and deploy intelligent applications leveraging Azure cloud technologies, AI-driven solutions, and IoT infrastructure to drive business innovation and efficiency.

Responsibilities:

• Develop and implement AI-driven applications using Azure AI and Cognitive Services.
• Design and deploy machine learning models to enhance automation and decision-making processes.
• Integrate IoT solutions with cloud platforms to enable real-time data processing and analytics.
• Collaborate with cross-functional teams to architect scalable, secure, and high-performance solutions.
• Optimize and fine-tune AI models for accuracy, performance, and cost-effectiveness.
• Ensure best practices in cloud security, data governance, and compliance.
• Monitor, maintain, and troubleshoot AI and IoT solutions in production environments.
• Stay updated with the latest advancements in AI, ML, and IoT technologies to drive innovation.

Required Skills and Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Strong experience with Azure AI, Cognitive Services, and Machine Learning.
• Proficiency in IoT architecture, data ingestion, and processing using Azure IoT Hub, Edge, or related services.
• Expertise in deploying and managing machine learning models in cloud environments.
• Strong understanding of RESTful APIs, microservices, and cloud-native application development.
• Experience with DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes).
• Knowledge of cloud security principles and best practices.
• Excellent problem-solving skills and the ability to work in an agile development environment.

Preferred Qualifications:

• Certifications in Microsoft Azure AI, IoT, or related cloud technologies.
• Experience with Natural Language Processing (NLP) and Computer Vision.
• Familiarity with big data processing and analytics tools such as Azure Data.
• Prior experience in deploying edge computing solutions.

If you are ready to embark on a new chapter in your career, kindly share your resume at

Please share below details:

Contact Number:

Mail id:

Preferred time to connect:

Total Experience :

Relevant Experience :

Current Location:

Preferred Location:

Notice Period:

Current CTC:

Expected CTC:

Reason for job change:

Thank You.

A key qualification of the candidate is the ability and passion to create new ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.)

Detailed responsibilities include:

• Evaluating and improving DL/ML training sets and associated workflow processes
• Evaluating and improving DL/ML learning model performance
• Comparing and assessing various DL/ML learning models
• Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)
• Working with local and global teams in all phases of product lifecycles
• Working with product engineering teams to define performance specifications and deliver to those specifications
• Providing technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects

Preferred Qualifications

• Strong background in at least one of the following areas: image processing, computer vision, pattern recognition
• Excellent mathematical and analytical skills
• Proficiency in C/C++, Python, Linux shell scripting, and object-oriented programming
• Ability to learn/ work with source code control software
• Good oral and written communications skills
• Ability to manage multiple tasks and prioritize work

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience;
• Master's Level Degree and related work experience of 3 years;
• Bachelor's Level Degree and related work experience of 5 years

Our client is a gaming tech company building for the next generation. Our consumer gaming platform already serves 500,000+ Gen Z users and is growing. Now we're re-imaginging game creation from the ground up-AI-first. Speak to any game developer and they'll be dying to tell you how they would love to focus more on creative aspects of a game, rather than the messy creation pipeline -long hours, redundant tasks, fragmented tools and painful troubleshooting.

Our vision:

The Studio AI-a unified intelligence product that makes game development 10x faster and accessible to everyone.

About the Role:

As an AI Engineer, you'll lead our efforts to build grounds-up AI native interactions and features of The Studio AI. You'll work directly with leadership to solve problems no one else is tackling in the industry. Your code, your systems, and your efforts will become the foundation that thousands of game creators build upon.

This role sits at the intersection of cutting-edge AI and practical game development needs. You won't just be implementing features-you'll be defining what's possible in AI-native game creation and building the systems that make it real. This isn't just another engineering role-this is a chance to architect the future of how games are built.

What You'll Do:

You'll create a product that acts as the orchestration layer between Unity(the world's leading game engine), creator tools, and assets to solve the messy "art-to-game" bottleneck that slows down every studio.

This will require you to: Move at research speed in production: Implement a paper the day after it drops. Test a new model the hour it's released. We don't wait for stable APIs-we create them. Novel application of latest models/agents in another industry, discuss the application in ours.

Build actual agents: Tool use, memory, retry logic, context updates, feedback mechanisms. Not a demo. AI co-workers that ship game code and assets.

Run high-velocity experiments: Apply bleeding-edge AI to solve game pipeline inefficiencies. Fail fast, iterate faster.

Ship and own GenAI features end-to-end: From POC to production. Your experiments become features that thousands of creators will use daily.

Collaborate with our engine team to deploy: You'll need to learn how our engine works to enable seamless integration your successful experiments into the product And of course, you will run evals, clean, prune, and collect datasets to analyze model performance, hallucination rates, recall, etc.

What We Are Looking For: Qualifications

• 2+ years of experience building AI applications, ideally with production exposure
• Strong knowledge of GenAI methods including Retrieval-Augmented Generation (RAG), Vision LLMs, context protocols like MCPs, and agentic frameworks like LangGraph, CrewAI, or AutoGen
• Proven track record of quickly iterating on AI experiments and adapting to new findings and challenges
• Ability to navigate and find solutions in technically ambiguous situations
• Demonstrated ability to rapidly learn and apply state-of-the-art AI techniques
• Good software development skills and ability to build robust systems
• Strong problem-solving skills and ability to think in systems, state machines, and event flows
• Ability to communicate technical concepts clearly to both technical and non-technical team members
• High aptitude and passion for AI-side projects, competitions, or strong quantitative background are valued
• Experience from gaming industry or genuine passion for gaming preferred
• Technologies

Must have:

Python, working with LLM APIs (OpenAI, Anthropic, etc.), basic web development (REST APIs, HTTP)

Should know (but learnable): RAG, agentic frameworks (LangGraph, CrewAI, etc.), MCP, prompt engineering, vector databases

Nice to have: Node.js (huge advantage), FastAPI/Flask, Unity experience, cloud platforms (AWS/GCP), Docker We work at the application layer, not the transformer layer - while it is okay to not know how models work internally, you must know how to use them. We'll help you onboard on our Unity engine integration.

This is for you IF

• You've built and owned complex systems from 0 to 1-not just features but foundations
• You think in systems, state machines, and event flows-not just endpoints.
• You default to velocity. Move fast and fail faster.
• You hold an incredibly high bar for yourself and expect it from others.
• You want direct impact, technical depth, and to solve problems that have never been solved before.
• You thrive in finding creative solutions to ambiguous problem statements, rather than wanting to "stay in your lane".
• You're not indexing on work-life balance; You prefer an environment of like minded, ultra-committed, live-and-breath AI people.

️ This is NOT for you IF

• You want a remote / hybrid role
• You need extensive structure, mentorship programs, or a predefined career ladder.
• You prefer working on a single, well-defined component.
• You view LLMs as just another API call.
• You're uncomfortable with ambiguity or rapid iteration.
• You can't handle direct, honest feedback or thrive in a high-candor environment.

Interview Process:

• Aptitude Test (30 minutes)
• Technical Interview 1 (90 minutes)
• Technical Interview 2 (60 minutes)
• Final Interview (30 minutes)

What We Offer:

• Opportunity to work on cutting edge products
• Working with a highly skilled, motivated and passionate group of people
• Competitive compensation
• Lunch on us, a fully stocked pantry, team events, and more

About the Company

Implement Architecture and design from definition phase to go-live phase.

About the Role

Work with the business analyst and SMEs to understand the current landscape priorities. Define conceptual and low-level model of using AI technology. Review design to make sure design is aligned with Architecture. Handson development of AI lead solution. Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc. Integrate with multiple system using API or Web Services or data exchange mechanism. Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications. Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management. Owning research assignments and development. Leading, developing and assisting developers & other team members. Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project. Define and deliver against the solution benefits statement. Positively and constructively engage with clients and operations teams' efforts where required.

Responsibilities

• Implement Architecture and design from definition phase to go-live phase.
• Work with the business analyst and SMEs to understand the current landscape priorities.
• Define conceptual and low-level model of using AI technology.
• Review design to make sure design is aligned with Architecture.
• Handson development of AI lead solution.
• Implement entire data pipeline of data crawling, ETL, creating Fact Tables, Data quality management etc.
• Integrate with multiple system using API or Web Services or data exchange mechanism.
• Build interfaces that gather data from various data sources such as: flat files, data extracts & incoming feeds from various data sources as well as directly interfacing with enterprise applications.
• Ensure that the solution is scalable, maintainable, and meet the best practices for security, performance and data management.
• Owning research assignments and development.
• Leading, developing and assisting developers & other team members.
• Collaborate, validate, and provide frequent updates to internal stakeholders throughout the project.
• Define and deliver against the solution benefits statement.
• Positively and constructively engage with clients and operations teams' efforts where required.

Qualifications

A Bachelor's degree in Computer Science, Software Engineering, or a related field

Required Skills

• Minimum 5 years of IT experience including 3+ years of experience as Full stack developer preferably using Python skills
• 2+ years of hands-on experience in Azure Data factory, Azure Databricks / Spark (familiarity with fabric), Azure Data Lake storage (Gen1/Gen2), Azure Synapse/SQL DW
• Expertise in designing/deploying data pipeline, from data crawling, ETL, Data warehousing, data applications on Azure
• Experienced in AI technology including: Machine Learning algorithms, Natural Language Processing, Deep Learning, Image Recognition, Speech Recognition etc.
• Proficient in programming languages like Python (Full Stack exposure)
• Proficient in dealing with all the layers in solution; multi-channel presentation, business logic in middleware, data access layer, RDBMS NO-SQL; E.g. MySQL, MongoDB, Cassendra, SQL Server DBs
• Familiar with Vector DB such as: FAISS, CromaDB, PineCone, Weaveate, Feature Store
• Experience in implementing and deploying applications on Azure
• Proficient in creating technical documents like Architecture views, Technology Architecture blueprint and design specification
• Experienced in using tools like Rational suite, Enterprise Architect, Eclipse, and Source code versioning systems like Git
• Experience with different development methodologies (RUP Scrum XP)

Preferred Skills

None specified

Pay range and compensation package

None specified

Equal Opportunity Statement

Include a statement on commitment to diversity and inclusivity.

Job Description/Preferred Qualifications Key Responsibilities:

• Lead and mentor a team of algorithm engineers, providing guidance and support to ensure their professional growth and success.

• Develop and maintain the infrastructure required for the deployment and execution of algorithms at scale.

• Collaborate with data scientists, software engineers, and product managers to design and implement robust and scalable algorithmic solutions.

• Optimize algorithm performance and resource utilization to meet business objectives.

• Stay up-to-date with the latest advancements in algorithm engineering and infrastructure technologies, and apply them to improve our systems.

• Drive continuous improvement in development processes, tools, and methodologies. Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

• Proven experience in developing computer vision and image processing algorithm and ML/DL algorithm.

• Familiar with high performance computing, parallel programming and distributed systems.

• Strong leadership and team management skills, with a track record of successfully leading engineering teams.

• Proficiency in programming languages such as Python, C++ and CUDA.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Experience with GPU architecture and algo development toolkit like Docker, Apptainer. Minimum Qualifications

• Bachelor's degree plus 8 + years of experience

• Master's degree plus 8 + years of experience

• Familiar with high performance computing, parallel programming and distributed systems.

About GradRight

GradRight is the world's first SaaS ecosystem that brings together students, universities and financial institutions on one platform. It enables students to find and fund high return college education, universities to engage and select the best-fit students and banks to lend in an effective and efficient manner. Our vision is to be the world's leading Ed-Fin Tech company dedicated to making higher education accessible and affordable to all.

We have enabled 250,000+ students to get the best deals on $ 4+ Billion of loan requests and facilitated disbursements of more than $ 450+ Million in loans. We enable 50+ universities across US, Europe, Canada to develop their brand in India, attract the right students to apply and enroll for their Graduate programs. It has commenced a new business line of marketing, enrolling and managing the Online Programs for its university partners.

Founded in 2019, GradRight has offices across Hyderabad, Gurgaon, Bangalore, Delhi and Washington DC. GradRight's team possesses extensive domestic and international experience in the launch and scale-up of premier higher education institutions like Ashoka, Krea and Plaksha University. It is led by alumni of IIT Delhi, ISB Hyderabad and BITS Pilani and University of Pennsylvania. GradRight is also the winner of the HSBC Fintech Innovation Challenge supported by the Ministry of Electronics & IT, Government of India.

At GradRight, we are transforming how students explore and access higher education abroad using technology and data. We're building smart, AI-powered tools that help match students to the best-fit universities and financial options. Join us to shape the future of student decision-making.

Role Overview

We're looking for an AI Developer who can design, build, and optimize intelligent systems like voicebots / chatbots, and recommend agents using state-of-the-art AI models and APIs. You should be comfortable working with foundation models (OpenAI, Gemma 3.0, DeepSeek R1, etc.), embeddings, vector databases, and building end-to-end AI applications that serve real users.

Key Responsibilities

1. Design and implement AI-powered systems using APIs such as OpenAI (GPT-4), Gemma 3.0, Claude, DeepSeek R1, etc.
2. Build and fine-tune bots (chat, voice, or hybrid) that can understand and respond intelligently in natural language.
3. Use vector databases (e.g., Pinecone, Weaviate, Qdrant, ChromaDB) to implement RAG (Retrieval-Augmented Generation) pipelines.
4. Generate and use embeddings to enhance semantic search, personalization, or recommendation engines.Integrate AI modules into backend systems (Python/NodeJS preferred), web apps, or mobile apps.
5. Optimize model calls and prompt engineering for cost, latency, and performance.Continuously evaluate emerging AI models and tools to keep our stack cutting-edge.
6. Work closely with product and data teams to ship AI features with real impact.

Required Skills & Experience

• Solid experience building AI-powered applications or bots using OpenAI / Claude / Gemini / DeepSeek or open-source LLMs.
• Proficiency with embeddings and semantic search use cases.Hands-on experience with vector databases like Pinecone, Weaviate, or Qdrant.Familiarity with LLMOps concepts and prompt engineering.
• Strong coding background in NodeJS (preferred) or Python.Comfortable working with REST APIs and building end-to-end pipelines.Experience deploying and monitoring AI systems in production.

Nice-to-Have

• Experience with LangChain/LlamaIndex/Haystack.Prior work with open-source models (Gemma, Mistral, Ollama, etc.).
• Exposure to CI/CD, Docker, and cloud platform (AWS).

A key qualification of the candidate is the ability and passion to create new ideas, analyze complex systems, formulate mathematical solutions and implement machine learning workflows that are practical for use in production. The candidate is expected to possess good oral and written communications skills, and domestic or international travel involved for up to 20% (supporting customer betas or visiting/training in Asia/US, etc.)

Detailed responsibilities include:

• Evaluating and improving DL/ML training sets and associated workflow processes
• Evaluating and improving DL/ML learning model performance
• Comparing and assessing various DL/ML learning models
• Evaluating and implementing algorithms to improve signal to noise ratio from variety of image conditions (i.e., extracting information from noisy images)
• Working with local and global teams in all phases of product lifecycles
• Working with product engineering teams to define performance specifications and deliver to those specifications
• Providing technical support during product demos and beta testing, working with domain experts from other functional teams on customer engagement projects

Preferred Qualifications

• Strong background in at least one of the following areas: image processing, computer vision, pattern recognition
• Excellent mathematical and analytical skills
• Proficiency in C/C++, Python, Linux shell scripting, and object-oriented programming
• Ability to learn/ work with source code control software
• Good oral and written communications skills
• Ability to manage multiple tasks and prioritize work

Minimum Qualifications

• Doctorate (Academic) Degree and 0 years related work experience;
• Master's Level Degree and related work experience of 3 years;
• Bachelor's Level Degree and related work experience of 5 years

Job Title: AI & Immersive Tech Specialist

Company: Trzy X - Events & Tech Co.

Location: Mumbai / Gurgaon (Hybrid)

Type: Full-time

About Trzy X

Welcome to Trzy X - where next-gen technology meets experiential storytelling. We're blending events, immersive installations, and cutting-edge AI to build India's most futuristic activations. From interactive holographic displays (Holobox) to AI-driven avatars, we're reimagining how people experience tech in public spaces.

We're now looking for a tech-savvy, creative problem solver to help us push the boundaries of what's possible with generative AI, real-time interactivity, and digital humans. If your idea of fun involves merging GPT with holograms, building responsive AI agents, or crafting public experiences that make people go "WOAH"-you might've just found your dream role.

What You'll Do

Develop, integrate, and prototype AI-powered interactive experiences for our Holobox platform (real-time, holographic interface used in events, malls, and live activations)

Build live digital avatars using ChatGPT and similar LLMs to act as conversational agents for real-world engagements

Develop ideas and possibilities of innovation that can be integrated with the holobox - we are looking for someone to bring innovative ideas to the table and have the technical skills to execute them

Work on real-time computer vision, voice recognition, and generative AI tools to create immersive storytelling

Collaborate closely with our 3D, CGI, and content teams to make ideas feel seamless and futuristic

Innovate, iterate, and challenge the status quo-your ideas will shape India's first AI-powered holographic interactions

Ensure stability, latency optimization, and responsive user experience in high-traffic public settings

Explore integrations with AR, XR, or spatial computing for expanded future use cases

Who You Are

Experienced in working with AI/ML APIs (OpenAI, Google Cloud, HuggingFace, etc.)

Hands-on with real-time systems, Node.js, Python, Unity/Unreal Engine, or WebXR

Comfortable working with 3D assets, spatial UI, or motion capture systems

Passionate about immersive tech, AI avatars, and building things that don't yet exist

Understands both technical performance and creative storytelling in interactive environments

Bonus if you've played around with tools like RunwayML, Replica Studios, D-ID, HeyGen, Voice AI, or similar platforms

Entrepreneurial mindset and excited to be part of something that's more "start-up chaos" than "corporate comfort zone"

What's in it for You

Be part of building India's first AI + Hologram + Event-tech company

Work on headline-grabbing tech that blends creativity and code

Endless room for experimentation, innovation, and weird-but-awesome ideas

Collaborate with a cutting-edge team of creatives, technologists, and futurists

Flexible, high-energy work environment where innovation is the job