ML Ops Developer - F2F Interview - Delhi
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Tata Consultancy Services
📍 Mumbai, Maharashtra, India
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 c...
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 c...