Find Your Dream Machine Learning Job in India

Lead - Analytics (AI/ML) Agentic AI, ML Engineering & Production AI Systems

Location: Hyderabad / Bengaluru (Hybrid)

Experience: 8-11 Years Employment Type: Full-time

About the Role

We are hiring a Lead - Analytics (AI/ML) to join the AI Innovation group of a global HealthTech leader operating at the frontier of Revenue Cycle Management (RCM). This is a senior individual contributor and technical leadership role - you will design production-grade AI and ML systems, lead agentic AI development, and set the engineering bar across the analytics platform.

AI-powered solutions are already running in production at scale here, continuously optimizing complex healthcare workflows. Your job is to make them simpler, more reliable, and more impactful - while building the next generation of agentic AI systems that autonomously execute multi-step RCM workflows.

If you have deep hands-on ML engineering experience, have shipped production AI systems, and care about clean, maintainable, high-craft code - this role is built for you.

What You'll Do

• Agentic AI Development - Design and implement agentic AI architectures that autonomously execute multi-step RCM workflows, with strong guardrails, observability, and control mechanisms. Evaluate and deploy LLM-based and multi-agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel)
• Radical Simplification - Lead model consolidation initiatives, collapsing client-specific ML models into generalized, reusable architectures. Simplify ML pipelines, drive migration from self-managed Airflow to managed orchestration, and eliminate redundant systems
• Code Craftsmanship - Own rigorous code review practices, define coding standards and Clean Architecture principles, maintain exemplar code libraries, and champion security, Explainable AI, and responsible engineering
• Technical Debt Reduction - Conduct debt assessments using static analysis and quality metrics, prioritize remediation based on business impact, and prevent future debt through design discipline
• Production ML Excellence - Deploy and operate ML systems in production with strong monitoring, logging, CI/CD, and automated testing
• Mentorship & Influence - Upskill engineers through workshops, code reviews, and technical communities of practice. Partner with Architecture, Product, Compliance, and Security teams

What We're Looking For (Must-Haves)

• 8+ years of overall software engineering experience
• 5+ years in analytics, data science, or ML engineering roles
• 2+ years in a senior IC or technical lead role
• Expert-level Python with a strong focus on production-quality code
• Proven experience designing, deploying, and operating ML systems in production (not just notebooks or POCs)
• Strong background in code reviews, engineering standards, and ML pipeline design
• Hands-on experience with ETL workflows, orchestration tools, and modern data platforms

Nice to Have

• Experience in healthcare Revenue Cycle Management (RCM) or adjacent HealthTech
• Hands-on with agentic AI frameworks - LangGraph, AutoGen, CrewAI, Semantic Kernel
• Cloud-based ML platforms - Azure ML, Databricks, Azure Data Factory
• Strong grasp of Clean Architecture and system design (C4 or equivalent)
• Model generalization techniques - ensembles, transfer learning, multi-task learning
• Familiarity with AI governance frameworks - NIST AI RMF, ISO 42001, HITRUST
• Experience quantifying and remediating technical debt using static analysis tools

Why This Role

You'll work on real healthcare problems with real scale - AI systems that directly impact how care gets paid for across the U.S. healthcare system. You'll have the autonomy of a senior IC, the influence of a technical leader, and the support of a fast-scaling Global Capability Center with meaningful global responsibility. The culture rewards ownership, craftsmanship, and clarity - not politics.

Company Description

NovintiX is a leading provider of innovative engineering services, committed to delivering transformative solutions across industries such as Medical Devices, Life Sciences & Healthcare, Aerospace & Defense, Automotive, Consumer Electronics, and Industrial & Heavy Equipment.

With a strong focus on excellence and innovation, NovintiX delivers products and services aligned with evolving technologies and future-ready strategies. Our core expertise includes Product Engineering, Supply Chain & Manufacturing, Quality, Clinical Affairs, and Digital Solutions.

At NovintiX, we foster a culture of growth, continuous learning, and innovation for both our clients and employees.

About the Role

We are looking for a highly skilled and experienced AI/ML Engineer to design, develop, and deploy data-driven solutions within the Healthcare and MedTech domain.

The ideal candidate will have strong expertise in building machine learning models, handling large-scale data systems, and leveraging AI technologies to address complex clinical and operational challenges.

Key Responsibilities

Machine Learning Development

• Design, develop, train, and deploy ML/DL models for clinical and operational use cases
• Build predictive analytics solutions (e.g., patient risk scoring, diagnostics, readmission prediction)
• Fine-tune models using frameworks such as scikit-learn, TensorFlow, and PyTorch
• Implement LLMs, Generative AI, or RAG-based solutions for medical text analysis and automation
• Work with time-series data for forecasting, anomaly detection, and trend analysis

Data Engineering & Processing

• Collaborate with data engineers to build scalable pipelines using Databricks, Azure Data Factory, and SQL Server
• Process structured and unstructured healthcare datasets with a focus on data quality and feature engineering
• Utilize PySpark, Spark SQL, and SQL for large-scale data processing

Model Deployment & MLOps

• Deploy models into production using MLflow, Azure ML, or Kubeflow
• Monitor, evaluate, and retrain models to ensure performance and reliability
• Integrate ML models into BI tools or clinical applications for real-time insights

Visualization & Reporting

• Develop dashboards using Power BI, Tableau, or QlikSense
• Present insights and model outputs clearly to both technical and non-technical stakeholders

Collaboration & Research

• Work closely with clinicians, analysts, and engineering teams to define ML problems
• Mentor and guide junior team members
• Stay updated with emerging AI/ML trends and apply them to healthcare use cases

Qualifications & Skills

• Minimum 5+ years of experience in AI/ML Engineering or Data Science (Healthcare, MedTech, or Manufacturing domain preferred)

Technical Skills

• Programming: Python, SQL, PySpark, Spark SQL
• Frameworks: scikit-learn, TensorFlow, PyTorch, Keras
• Data Tools: Databricks, Azure Data Factory, Apache Spark
• Cloud Platforms: Azure (preferred), AWS, GCP
• BI Tools: Power BI, Tableau, QlikSense
• MLOps: MLflow, Azure ML, Docker, Git, CI/CD

Domain Knowledge (Good to Have)

• Healthcare data standards such as HL7 and FHIR

About Us

Zemoso Technologies is a Software Product Market Fit Studio that brings silicon valley style rapid prototyping and rapid application builds to Entrepreneurs and Corporate innovation. We offer Innovation as a service and work on ideas from scratch and take it to the Product Market Fit stage using Design Thinking -> Lean Execution -> Agile Methodology.

We were featured as one of Deloitte Fastest 50 growing tech companies from India thrice (2016, 2018 and 2019). We were also featured in Deloitte Technology Fast 500 Asia Pacific both in 2016 and 2018.

We are located in Hyderabad, India, and Dallas, US. We have recently incorporated another office in Waterloo, Canada. Our founders have had past successes - founded a decision management company acquired by SAP AG (now part of Hana Big data stack & NetWeaver BPM), early engineering team of Zoho (leading billion $ SaaS player) & some Private Equity experience. Marquee customers along with some exciting start-ups are part of our clientele.

Role Summary

We are seeking a highly experienced Machine Learning Lead to drive the architecture, development, and deployment of advanced machine learning solutions. In this role, you will not only lead a talented technical team but also serve as the critical bridge between our engineering efforts and our clients. You must possess the unique ability to distill complex, highly technical ML concepts into clear, business-driven language for stakeholders, ensuring the successful delivery of complex projects.

What You Will Do

• Stakeholder Communication & Client Management: Act as the primary technical liaison for clients. Translate complex ML terms, model behaviors, and architectural trade-offs into actionable business insights for non-technical stakeholders.
• Technical Leadership: Architect and design end-to-end ML solutions. Lead, mentor, and guide a team of Data Analysts and ML/Data Engineers through the entire project lifecycle.
• Project Delivery: Oversee the collection, cleanup, exploration, and statistical analysis of complex datasets to drive business intelligence.
• Model Lifecycle Management: Lead the implementation, deployment, and scaling of advanced ML models and algorithms to solve complex business problems.
• Cross-functional Collaboration: Work closely with data engineers to design, build, test, and monitor robust data and MLOps pipelines for ongoing business operations.
• Strategic Alignment: Understand the client's core business model to ensure the ML solutions built bring measurable, actionable ROI out of data available in various formats.

Basic Qualifications

• Experience: 8 to 12 years of overall industry experience, with a proven track record in Data Science, Machine Learning, and technical leadership.
• Client-Facing Expertise: Demonstrated experience in stakeholder management, specifically the ability to confidently answer to clients and demystify complex ML concepts in a consultative manner.
• Technical Proficiency: Exceptional, hands-on coding experience in Python and robust experience with popular ML frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch).
• Analytical Rigor: Deep expertise in statistical modeling of large data sets and a comprehensive understanding of diverse ML algorithms.
• Pipeline & Architecture: Strong experience designing robust data/ML pipelines and transitioning models from experimentation to production environments.
• Data Analytics: Solid foundational experience in data analytics, including the ability to extract actionable insights from raw data (experience with advanced Excel/BI tools is a plus).

Nice to Have Qualifications

• Hands-on experience with Deep Learning, Generative AI, or NLP frameworks.
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, Docker, Kubernetes).
• Experience with Cloud platforms (AWS, GCP, or Azure) and their respective ML services.
• A background working in fast-paced startup environments or consulting/services agencies.

Benefits

• Competitive salary.
• Hybrid work model.
• Learning and gaining experience rapidly.
• Reimbursement for basic working set up at home.

Location

Chennai / Mumbai / Pune / Hyderabad / Bangalore( Hybrid)

About the Role

This role is responsible for architecting and implementing the "Agentic" capabilities of the PHI ecosystem. You will lead the development of multi-agent interactions and ensure technical interoperability through advanced protocols. The role requires a strong focus on AI safety and the implementation of secure, tool-connected agents that can execute complex tasks within the health insurance domain.

Key Responsibilities

Agent Orchestration: Build and manage autonomous agents using the ADK and Vertex AI Agent Engine.

Interoperability: Implement the Model Context Protocol (MCP) to connect AI agents with internal PHI tools and external services.

Multimodal Development: Build real-time, bidirectional audio applications using the Gemini Live API and integrate image generation models.

Safety Engineering: Implement Model Armor and the Cloud DLP API to sanitize prompts and protect sensitive health data (PII/PHI).

Agent-to-Agent (A2A): Configure remote agent connectivity using the A2A SDK for cross-functional workflows.

Must-Have Skills

3 to 7 years of experience in Machine Learning/Data Science domain.

Advanced proficiency in the Agent Development Kit (ADK) and Vertex AI Agent Engine.

Hands-on experience with MCP (Model Context Protocol) and the A2A SDK.

Expertise in Google Gen AI SDK for Python and multimodal grounding.

Proven experience in implementing AI safety layers (Model Armor, Cloud DLP). Good-to-Have Skills (Foundation)

BigQuery Optimization: Partitioning, clustering, and denormalization for cost and performance.

Stream Processing: Building real-time pipelines with Pub/Sub and Big Query

ML Engineer

Job Title: Machine Learning Engineer

Qualification: B.E/B.Tech, M.E/ M.Tech

Experience: 5 to 8 Years as ML Engineer or Data Engineer

Location: Chennai

About the Role:

You will be responsible for setting up and maintaining the RAG backend infrastructure, ensuring data security and compliance, and integrating multiple data sources into a unified knowledge system. Over time, you will transition into broader engineering tasks, supporting the work of the engineering functions.

Key Responsibilities:

• Design, implement, and maintain scalable data ingestion pipelines for unstructured and structured content.
• Build and manage vector database infrastructure (e.g. Pinecone, Milvus) for document indexing and retrieval.
• Develop and enforce fine-grained access control mechanisms to ensure secure and compliant knowledge access.
• Collaborate with domain experts to source, curate, and structure knowledge for RAG workflows.
• Integrate document chunking, embedding generation, and metadata tagging into the pipeline.
• Monitor and optimise retrieval performance, latency, and quality across the RAG stack.
• Implement observability, logging, and evaluation metrics for pipeline health and retrieval quality.
• Work with IT teams to deploy and maintain services in a self-hosted environment.

Job requirements:

• Bachelor's or Master's degree in computer science, Data Engineering, or a related field.
• 5 + years of experience in ML Engineering, Data Engineering, or MLOps.
• Proficiency in Python and experience with data manipulation, analysis and visualisation libraries (e.g. Pandas, NumPy, Matplotlib, Seaborn etc.)
• Hands-on experience with vector databases and embedding techniques, data pipelines
• Familiarity with access control models (e.g. RBAC, ABAC) and data governance practices.
• Strong understanding and adherence to the Clean Code principles.

Preferred Qualifications

• Experience with Retrieval-Augmented Generation (RAG) architectures.
• Hands on experience with AI-Aided software development (e.g. GitHub Copilot, Cursor, Claude Code)
• Knowledge of SQL and relational database designs. (e.g. PostgreSQL)
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Exposure to knowledge management systems or enterprise search platforms.
• Understanding the basics of ISO 27001.
• Experience with containerisation (Docker, Kubernetes).
• Experience with ML/AI frameworks (e.g. SciKit-learn, Keras, PyTorch, TensorFlow).

Soft skills

• Continuous learning mindset and a passion for staying up to date with the latest trends and advancements in data science and machine learning.
• Strong analytical and problem-solving skills.
• Ability to work within a team with a proactive attitude.
• Fluent English.

What We Offer

• Opportunity to work on cutting-edge AI applications in a real-world enterprise setting.
• Professional development opportunities and the possibility to grow the role.

IMPORTANT NOTICE: RECRUITMENT SCAM

We have noticed a recent recruitment scam in which fraudulent offer letters for "Full Stack .NET Developer" roles are being sent from the fake email address .

Please be aware that the communications from the above-mentioned email ID are .

Important Facts:

• No Fees: Hinduja Tech never asks for money at any stage of the recruitment process, including mandatory training or equipment. Therefore, please do not make any payment to anyone who offer to provide you with employment at Hinduja Tech.
• Official Email id / Domain: All official emails relating to employment from us are sent from and our domain name is
• Verification: We do not issue offer letters without a formal interview process.

If you have received a suspicious email or a demand for payment, please do not share any personal information or make any payments and report the same with concerned law enforcement authorities. Please stay vigilant

Location: Pune

Experience: 2+ years

Employment Type: Full-Time

At Skylark Labs, we pioneer embodied artificial intelligence that seamlessly integrates into every physical device, evolving toward true general intelligence. Our mission is to transform the world by creating adaptive AI systems that empower innovation, enhance safety, and redefine connectivity for a smarter, more sustainable future.

We are building scalable AI-driven solutions to power next-generation visual intelligence systems. Join our team of passionate engineers and researchers to solve real-world computer vision problems across domains like robotics, smart cities, manufacturing, surveillance, and public safety - all while contributing to the future of embodied AI.

• Design, develop, and deploy robust computer vision models for object detection, classification, segmentation, pose estimation, tracking, and OCR tasks
• Handle end-to-end data management including dataset curation, preprocessing, augmentation, and annotation for large-scale image and video data
• Implement optimization techniques such as model quantization, pruning, and knowledge distillation for efficient edge deployment
• Optimize model inference performance on both cloud and edge computing platforms
• Develop and fine-tune deep learning architectures using modern frameworks
• Integrate computer vision models into production pipelines and edge-based inference systems
• Collaborate with MLOps/DevOps and product teams to deploy CV solutions at scale
• Research and evaluate emerging techniques to continuously improve system accuracy and efficiency

• 2+ years of hands-on experience in computer vision and deep learning development
• Proficiency in Python with computer vision libraries and data processing tools
• Strong expertise in deep learning frameworks for training custom models and leveraging pretrained architectures
• Experience with deployment and optimization on edge computing devices
• Familiarity with hardware acceleration and model optimization tools
• Understanding of classical computer vision techniques including image processing fundamentals
• Experience in data pipeline management for vision applications
• Proficiency with version control systems and collaborative development workflows
• Basic experience working with video streams from cameras, drones, or embedded platforms

• Experience with model serving frameworks and inference optimization tools
• Familiarity with MLOps practices and CI/CD pipeline integration
• Knowledge of Vision-Language Models (VLMs) and multimodal AI systems for advanced visual understanding
• Knowledge of cloud AI services and edge computing platforms
• Experience with real-time object tracking algorithms
• Domain experience in smart surveillance, OCR, safety detection, or embedded CV applications

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM - 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1-3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Interest in GenAI & automation

Machine Learning Engineer/DevOps Engineer

Junior Software Engineer (MLOps / DevOps)

Location: India (Remote in US shift)

Core Hours: 11 AM – 2 PM PST (Pacific US shift - Flexible beyond this)

Pay: INR 50k-60k per month

On-Call: No

About the Role

We are looking for a Junior MLOps / DevOps Engineer (Level 1) to support machine learning workflows, automation, and deployment pipelines within a fast-paced data science environment.

Key Responsibilities

• Build and maintain ML pipelines & CI/CD workflows
• Support model deployment (Vertex AI / similar platforms)
• Automate infrastructure using Terraform (IaC)
• Collaborate with data scientists on workflow optimization
• Develop reporting pipelines using BigQuery / Tableau / Looker
• Troubleshoot deployment and performance issues

Required Skills

• 1–3 years of experience in MLOps / DevOps
• Strong in Python
• Basic knowledge of GCP / AWS
• Familiarity with Kubernetes & containerization
• Understanding of ML model lifecycle (deployment, monitoring)
• SQL & reporting tools exposure

Nice to Have

• Experience with Vertex AI / SageMaker

Pacer Group

4 days ago