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Ml Ops Developer

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Onsite

Ml Ops Developer

Tata Consultancy Services

Ml Ops Developer

Skills

Google Cloud PlatformDockerData AnalysisMachine LearningAIAWSKubernetesComplianceDigital TransformationBusiness TransformationAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

9 September 2026

What they need


Job DescriptionAbout the Unit : TCS Data & Analytics is powering the AI revolution by transforming data into a strategic enterprise asset. Built on the philosophy of Smart Data for Smarter AI , it enables organisations to create intelligent, AI-ready ecosystems that accelerate innovation, unlock new value, and drive business transformation at scale. As AI reshapes industries, TCS is helping businesses turn data into their most powerful competitive advantage.

:Role Name:MLOps Developer

Exp req:4+

Interview veneue:

The Tata Consultancy Services (TCS) Brigade Bhuwalka Icon, situated at No. 1, ITPL Main Road, Pattandur Agrahara, Whitefield, Bengaluru, Karnataka, 560069

Job description

  • Strong knowledge of MLOps principles and the end-toend ML lifecycle: data preparation → training → validation → deployment/serving → monitorin

g/refresh pipelines.

  • Design and implement CI/CD (and CT/continuous training) pipelines for ML workflows,

including testing, promotion, rollback, and reproducible builds.

  • Handson with containerization and orchestration (e.g., Docker/Kubernetes) and ML pipeline tooli

ng 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 m

anaged services and cloudnative 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.

  • Crossfunctional collaboration with data scientists, engineers, and platform teams to productioni

ze models following best practices for repeatability, standardization, and operational effici

  • Experience Range: 4 to 10 years
  • Qualifications: Any Technical Degree(BE/B,Tech/M.tech/MCA/BCA/BSC/Diploma/Masters)

Eligibility:

  • 15 years of full-time education.
  • Good communication and interpersonal skills
  • Strong verbal and written communication skills
  • Willingness to work in a collaborative and dynamic environment
  • Relevant experience as per the job requirements (if applicable)

Documents required for interview:

  • TCS Online Application Form
  • Resume
  • Govt. Photo ID Proof (Passport / Driving License / Aadhar Card / PAN Card)
  • PAN Card
  • Marksheet
  • Work experience letters
  • Last 3 months pay slips .

Unit level assets:Solution- can be used as per opening

  • TCS Data Modernization Service on AWS

Research insights/Blogs - First 2 articles will go with any AI opening

  • Modernise ETL systems for a successful AI-first operating model

Case studies-

  • TCS accelerates Alstoms digital transformation with a future-ready Data Integration Backbone

Leadership Video

should go with any Data analytics opening, latest video

  • The Future of AI is Built on Data. And It Starts Here- Satish Byravan, Global Head of Data & Analyt…

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