Machine Learning Engineer

Greetings from TCS!!!!

TCS is looking for ML Ops Developer Role - ML Ops Developer

Experience - 4 to 12 years Joining Location - PAN INDIA

Mode of Interview - F2F / Walk in Location of Interview - Bangalore/Hyderabad/Pune/Chennai. Job description · Strong knowledge of MLOps principles and the end-to end 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. · 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 m anaged 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 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 vant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras). Desired Skills Machine Learning Desired Candidate Profile - Qualifications : BACHELOR OF TECHNOLOGY