MLOPs Engineer (India)

MLOPs Engineer (India)

10 Aug
|
Tata Consultancy Services
|
India

10 Aug

Tata Consultancy Services

India

Greetings from TATA CONSULTANCY SERVICES

TCS is hiring for MLOPs Engineer
(Weekend Inperson Interview)

Role: MLOPs Developer

Experience Range: 4 -8years

Location:Pune
(TCS, Sahyadri Park 1, Tata Consultancy Services, Gate 1, Hinjewadi Phase 3, Pune-411057)
Notice Period: 0 -15/30/45 days, Immediate joiners are also preferred.

Interview Date-8th-Aug-2026
Interview mode- Face to face Required
Technical Skill Set: Python React, Rapid API, Azure Cloud

Ex-TCSers are not allowed and experience range less than 4yrs will not be considered .

Required skills:
. 2+ years in AI/Gen AI
Degree in computer science, artificial intelligence, or IT.
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).

Things to carry for interview:
One copy

📌 MLOPs Engineer (India)
🏢 Tata Consultancy Services
📍 India

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