ML OPS engineer (Hyderabad)

ML OPS engineer (Hyderabad)

13 Oct
|
Tata Consultancy Services
|
Hyderabad

13 Oct

Tata Consultancy Services

Hyderabad

Role & responsibilities

- Deployment patterns: batch scoring, real-time endpoints, streaming where needed
- MLOps toolchain: MLflow, Docker, Kubernetes (or managed equivalents), CI/CD (Azure DevOps/GitHub Actions)
- Model monitoring: drift (data + concept), performance, alerting, retraining triggers
- Artifact management: model registry, feature store concepts, reproducibility
- Security/compliance-aware engineering: secrets management, access controls, audit logging

Nice-to-have

- Terraform/IaC, platform enablement experience
- Feature store implementation experience

Familiarity with three lines of defense” / governance in regulated environments

📌 ML OPS engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad

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