MLOps Engineer (Capgemini) | Bengaluru, Hyderabad, Kolkata and Pune | Salary Based on Profile

Capgemini is hiring an MLOps Engineer to operationalize machine-learning models and create reliable deployment, monitoring and automation workflows.

Job Highlights

• Company: Capgemini
• Role: MLOps Engineer
• Locations: Bengaluru, Hyderabad, Kolkata and Pune
• Experience: Relevant MLOps experience
• Employment Type: Full-Time
• Salary: Based on Profile
• Domain: Machine Learning Operations

Roles & Responsibilities

• Deploy machine-learning models into production.
• Build automated model-training and release pipelines.
• Integrate model-serving frameworks.
• Monitor model and infrastructure performance.
• Implement versioning for models, code and datasets.
• Troubleshoot deployment and inference failures.
• Support scalable cloud-based AI workloads.
• Collaborate with data scientists and engineers.
• Apply security and operational controls.
• Maintain deployment and monitoring documentation.

Qualifications & Eligibility

• Experience deploying production machine-learning solutions.
• Knowledge of CI/CD, containers and cloud platforms.
• Understanding of model-serving frameworks.
• Strong scripting and automation skills.

Required Skills

• MLOps
• Python
• Docker
• Kubernetes
• CI/CD
• TensorFlow Serving
• TorchServe
• Cloud platforms