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ML Ops Developer

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Onsite

ML Ops Developer

Tata Consultancy Services

ML Ops Developer

Skills

Google Cloud PlatformDockerPythonJava.NETKerasPyTorchTensorFlowMachine LearningAIAWSKubernetesComplianceAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

10 September 2026

What they need


Greetings from TCS!

Job Title: ML Ops Developer

Walkin Date: 19th Sep 26

Walkin Location: TCS -Magnum Block IT SEZ Phase-2, 200 Feet Radial Road, MCN Nagar Extension, Thoraipakkam, Chennai - 600097

Walkin Time: 9am-1pm

Experience Range:4-15 yrs

Job description:

TCS has always been in the spotlight for being adept in the next big technologies. What we can offer you is a space to explore varied technologies and quench your techie soul.

Key Responsibilities

  • 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).

Minimum Qualification: 15 years of full-time education

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