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
📌 Walk-in || Ml Engineer (Pune)
🏢 Tata Consultancy Services
📍 Pune
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