About the Company Greetings from Tata Consultancy Services Recruitment Team!

About the Role Face to Face Interview for all those ML Ops Developer we are coming bigger with the plan of Face to Face Drive on 8th August,2026 (Saturday) in Kolkata. It is a Face to Face interview planned to attract great Talents in ML Ops Developer. We believe that your skills and expertise are a better match for the skills we are looking for.

Responsibilities Skill: ML Ops Developer (Face to Face)

Years of experience: 6 to 12 Years

Location: TCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal –700091, India

Date: 8th July,2026 (Saturday) (Face to Face)

Drive Time: 9 AM to 2 PM

Ex TCS Employees are not eligible to apply.

Candidates from Kolkata and Nearby locations are eligible to apply.

Qualifications Degree in computer science, artificial intelligence, or IT.

Required Skills Strong knowledge of MLOps principles and the end-to-end ML lifecycle: data preparation → training → validation → deployment/serving → monitoring/refresh pipelines.

Design and implement CI/CD (and CT/continuous training) pipelines for ML workflows, including testing, promotion, rollback, and reproducible builds.





Hands-on with containerization and orchestration (e.g., Docker/Kubernetes) and ML pipeline tooling such as MLflow/Kubeflow (or equivalent).

Monitoring & observability for ML systems: service + data + model health tracking, drift checks (feature/target/concept), alerts/triggers, and root-cause analysis.

Cloud platform experience (AWS/Azure/GCP) to deploy and run ML workloads using managed services and cloud-native components (e.g., GKE, BigQuery, Cloud Storage, Vertex AI capabilities).

Security, governance, and access controls: authentication/authorization, encryption, policy/guardrails, and compliance-focused logging/traceability for production ML.

Cross-functional collaboration with data scientists, engineers, and platform teams to productionize models following best practices for repeatability, standardization, and operational efficiency.

Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

Preferred Skills None specified.

Pay range and compensation package None specified.

Equal Prospect Statement We are committed to diversity and inclusivity.

📌 ML Ops Developer (Kolkata)
🏢 Tata Consultancy Services
📍 Kolkata