Walk-in | ML Ops Developer

Tata Consultancy Services; Hyderabad; On-site; INR 1,800,000 - 2,600,000; Full time

Job summary

Tata Consultancy Services is seeking an ML Ops Developer to drive the end-to-end ML lifecycle in Hyderabad. You will design and implement CI/CD pipelines, manage containerized workflows, and ensure robust monitoring and governance for production ML models.

The role requires 4–15 years of experience with cloud ML deployments and programming in Python/Java/.Net, based in Hyderabad, with a walk-in drive and onsite setup.

Qualifications

• Strong knowledge of MLOps principles and end-to-end ML lifecycle.
• Design and implement CI/CD pipelines for ML workflows and CT.
• Hands-on with containerization and orchestration (Docker/Kubernetes).
• Monitoring, drift checks, and observability for ML systems.
• Experience deploying ML workloads on AWS/Azure/GCP.

Skills

MLOps fundamentals

CI/CD pipelines

Docker/Kubernetes

Monitoring & observability

Cloud platforms (AWS/Azure/GCP)

Security & governance

Python/Java/.Net

Education

Bachelor's degree in a related field

Tools

MLflow

Kubeflow

TensorFlow

PyTorch

Keras

GKE

BigQuery

Job description

About the Unit

TCS AI is driving the vision of becoming the worlds largest AI‑led technology services company, helping enterprises transform across the entire AI stackfrom infrastructure to intelligence. With an action-oriented approach that goes beyond experimentation, TCS combines enterprise‑grade AI platforms, model engineering, and human‑centred design to deliver measurable business impact. At the heart of this transformation is data, enabling organisations to modernise their data ecosystems and infuse AI across customer value chains. For TCS, AI is not just a technology It is the foundation of the next economy.

Role Name

ML Ops Developer

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 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 managed services and cloud native components (e.g., GKE, BigQuery, Cloud Storage, Vertex AI capabilities).
• Cross Security, governance, and access controls: authentication/authorization, encryption, policy/guardrails, and compliance-focused logging/traceability for production ML. functional collaboration with data scientists, engineers, and platform teams to productioni ze models following best practices for repeatability, standardization, and operational effici ency.
• Proficiency in programming languages such as Python, .Net or Java, with experience in rele valent libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).

Location

Hyderabad

Experience Range

4-15 years

Walkin Drive Date

19th September 2026 (9am - 3pm)

Venue

Tata Consultancy Services (TCS) Deccan Park, Plot No. Hitech City Main Road, Software Units LayoutHUDA Techno Enclave, Madhapur Hyderabad, Telangana - 500084

Qualifications

Any full-time graduation

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)

Unit level assets

Solutions- First one should go with any AI opening

1. TCS AI WisdomNext- A modular, enterprisegrade GenAI platform to design and scale agentic automation with greater business impact

2. TCS Neural Decision Synthesis

3. TCS Rapid Outcome AI

Research insights/Blogs

First 2 articles will go with any AI opening

1. From potential to performance by design- TCS AI for Business Study Key Findings

2. The Tata Story at the India AI Impact Summit

3. Statistical AI framework for model fragility detection

4. Winning With Intelligent Choice Architectures

5. Advance innovation with human-humanoid collaboration

6. How to measure success with agentic AI in enterprises

7. Build enterprise ready LLMs through fine tuning

8. Redefining application maintenance with AI

Case studies

1. Deutsche Bank accelerates compliance with AI-powered digital assistant

2. Lloyds Banking Group: Re-imagining banking with AI

3. Global YT Video- TCS helps TDC NET modernise with human-in-the-loop AI

Leadership Video

both should go with any AI opening

1. Tata AI Conclave, powered by CNBC TV18- TATA chairman and COO

2. Transforming work in the age of AI- Ashok Krish

Big Bet hiring page link

• https://www.tcs.com/careers/india/tcs-ai-careers