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…