ML-Ops Engineer

Desired Experience Range:7-11 years

Location of Requirement :Chennai / Hyderabad

Role:ML Ops Engineer (Model deployment & monitoring)

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

Must-Have**

(Ideally should not be more than 3-5)

• Excellent understanding of deployment patterns
• Good technical knowledge of the entire ML Ops toolchain
• Knowledge of model monitoring
• Good knowledge of artefact management
• Good knowledge of security and compliance aware engineering principles
• Good team skill and interpersonal skill