Description

Design and implement MLOps workflows for Azure Machine Learning, managing model deployment and lifecycle.

This role is on-site.

Responsibilities

• Build and maintain CI/CD pipelines using Azure DevOps for ML training, packaging, and release automation.
• Develop Python-based automation for ML operations, including agent-style workflows.
• Containerize ML services using Docker and orchestrate workloads with Kubernetes (AKS).
• Integrate data storage and pipelines with Azure Data Lake/Blob Storage to ensure reliable data access.

Required Skills

• 5+ years of experience in MLOps, DevOps, or Data Engineering.
• Hands-on experience with Azure Machine Learning production deployment and operational workflows.
• Proficiency in Python for ML operations and automation.
• Strong knowledge of Azure DevOps CI/CD and containerized deployment practices.
• Experience with Docker and Kubernetes (AKS) for orchestration.
• Familiarity with Azure Data Lake.

Preferred Skills

• B.E./B.Tech in Computer Science Engineering or Information Technology.

Key Skills

Education

Any Graduate