Manager – ML Engineering

Key Deliverables in this role MLOps & Production ML Pipelines Design and implemented-to-end MLOps pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring. Build and maintain CI/CD pipelines for ML models with automated testing, validation, and rollback capabilities. Implement experiment tracking, model versioning, and data versioning using tools such as ML flow, DVC, Weights & Biases, or similar. Manage model registry workflows - promoting …