Walk-in || Ml Engineer

Job description

**Greetings from TCS!** **Job Title: MLOps Engineer** **Walk-in Interview Date: 08-Aug-2026 (Saturday)** **Walk-in Location: TCS**, **Zone 3 and Auditorium, TCS, Sahyadri Park 1, Tata Consultancy Services, Gate 1, Hinjewadi Phase 3, Pune-411057** **Walk-in Time: 9am-1pm** **Experience Range: 8-15 yrs** **Required Technical 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 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). **Minimum Qualification: 15 years of full-time education**