Tcs Hiring For ML Ops Developer For Chennai Location

Tata Consultancy Services; Chennai District; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

Tata Consultancy Services in Chennai invites ML Ops Developers for a walk-in on 19th Sep 26, 9am-1pm at TCS Magnum Block IT SEZ Phase-2, MCN Nagar Extension, Chennai - 600097.

The role requires 4-15 years of experience in ML lifecycle, CI/CD pipelines, Docker/Kubernetes, cloud platforms, and strong programming skills in Python and Java/.NET.

Join to work with data scientists and engineers to productionize models with best practices.

Qualifications

• 15 years of full-time education required.
• Experience in MLops and end-to-end ML lifecycle.
• Strong CI/CD design for ML workflows.
• Hands-on with containerization and orchestration.
• Cloud platforms (AWS/Azure/GCP) familiarity.

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).

Skills

Python

Java/.NET

Docker

Kubernetes

MLflow

Kubeflow

TensorFlow

PyTorch

Keras

Education

15 years of full-time education

Tools

Docker

Kubernetes

MLflow

Kubeflow

Job description

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