ML OPS engineer

Tata Consultancy Services; Hyderabad, Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Hyderabad is seeking a skilled MLOps engineer to design and maintain scalable ML deployment pipelines across batch, real-time, and streaming use cases.

You will work with MLflow, Docker, Kubernetes, CI/CD tooling, and model monitoring to detect drift and triggers for retraining, while ensuring secure, compliant operations. Familiarity with feature store concepts and platform enablement is a plus.

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

Job description

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