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ML Ops and Model accuracy Engineer

  • Capgemini
  • Pune, Salem, Tiruchirapalli, Tiruchirappalli, Bangalore, Bhubaneswar, Chennai, Coimbatore, Gandhinagar, Gurgaon, Hyderabad, Kanchipuram, Kolkata, Kolkata, Mumbai, Mumbai, Navi Mumbai, Noida
  • Experienced Professionals
  • Full Time
  • Corporate Common and Invest
  • Software Engineering

Posted June 25, 2026 applications close July 25, 2026


Job Description

Your Role

  • Design and build scalable, reliable backend and platform systems optimized for ML workloads, ensuring high availability and performance
  • Enforce strong engineering practices including modular design, automated testing, code quality, and scalability standards
  • Develop and manage cloud-native infrastructure with Kubernetes, containers, and microservices, while optimizing for cost and resilience
  • Establish and scale CI/CD pipelines across both application and ML lifecycles, with full observability (logging, metrics, tracing)
  • Architect and implement end-to-end MLOps pipelines, from data ingestion through deployment, monitoring, and automated retraining
  • Drive automation in model lifecycle management including versioning, experiment tracking, reproducibility, and governance using tools like MLflow, Kubeflow, and Airflow
  • Define, monitor, and continuously improve model performance using key metrics (accuracy, latency, drift, bias), with robust evaluation and A/B testing frameworks
  • Lead cross-functional teams and collaborate with stakeholders to deliver scalable AI solutions while shaping the ML platform strategy and adoption roadmap

Your Skills

  • Strong foundation in Software Engineering (Java/Python/Go) and system design
  • Expertise in DevOps practices (CI/CD, Docker, Kubernetes, Infrastructure as Code)
  • Proven experience in MLOps frameworks and model lifecycle management
  • Deep understanding of model accuracy, evaluation metrics, and monitoring strategies
  • Hands-on experience with cloud platforms (GCP/AWS/Azure)
  • Prior experience managing engineering teams

Why you will love working at Capgemini

  • At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.
  • We recognize the significance of flexible work arrangements to provide support. Be it remote work, or flexible work hours, you will get an environment to maintain a healthy work life balance.
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