Job Description
Greetings from Tata Consultancy Services Role : ML Ops Developer Experience: 5 to 12 Years Interview Mode: F2F Interview Date: 13 June 2026(Saturday) Location: Delhi (Noida) Job Description ML Ops Developer: 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)....
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