Description

Lead platform engineering, CI/CD automation, and production-grade AI/ML model deployment on Microsoft Azure.

Responsibilities

• Design and maintain CI/CD pipelines using Azure DevOps, Git, and YAML across Dev, QA, and Prod environments.
• Lead automated deployment of AI/ML models, including batch and real-time inference.
• Implement model lifecycle management: training, validation, deployment, and monitoring.
• Develop and optimize data pipelines using Azure Data Factory, Databricks, and ADLS.

Required Skills

• 10+ years of experience in DevOps, MLOps, and Data Engineering.
• Deep expertise in Microsoft Azure cloud services.
• Proficiency with Azure DevOps, Git, and YAML for pipeline configuration.
• Experience with Azure Data Factory, Databricks, and ADLS.
• Proven track record deploying AI/ML models into production.
• Strong background in model lifecycle management and monitoring.

Preferred Skills

• Experience with Event Grid and Service Bus for event-driven architecture.
• Familiarity with Kafka and Event Hubs for streaming data.
• Hands-on experience with Docker, Kubernetes, and AKS.

Key Skills

Education

Any Graduate