Walk-in | Ml Ops Developer

Tata Consultancy Services; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

Tata Consultancy Services is hiring an MLOps Developer for its Data & Analytics unit in Bengaluru. You will design and implement ML pipelines, CI/CD with continuous training, and manage end-to-end ML lifecycle from data prep to deployment and monitoring.

You'll work with Docker/Kubernetes, MLflow/Kubeflow, and cloud platforms (AWS/Azure/GCP), ensuring secure, scalable, and observable ML systems. 4–10 years' experience required.

Job description

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 eficency

• 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