Description

Key Skills: MLOps, Azure Devops, Containerization (Docker, Kubernetes), Python, Azure Data lake

Roles and Responsibilities:

• Design and implement MLOps workflows for Azure Machine Learning, including model deployment and lifecycle management.
• 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 where applicable.
• Containerize ML services using Docker and deploy/orchestrate workloads with Kubernetes (AKS).
• Integrate data storage and pipelines with Azure Data Lake/Blob Storage and ensure reliable data access for ML jobs.

Skills Required:

• 5+ years of experience in MLOps, DevOps, or Data Engineering roles
• MLOps (end-to-end ML lifecycle operations)
• Azure Machine Learning (production deployment and operational workflows)
• Python (hands-on development for ML operations and automation)
• Azure DevOps CI/CD and containerized deployment practices

Good to Have:

• Azure Data Lake experience
• Docker and Kubernetes (AKS) for orchestration

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

Key Skills

Education

Any Graduate