Description

You will lead platform engineering, automated deployment pipelines, and production-grade AI/ML model deployment on Microsoft Azure.

Responsibilities

  • Design and implement CI/CD pipelines using Azure DevOps, Git, and YAML.
  • Manage automated deployment of AI/ML models across Dev, QA, and Prod environments.
  • Implement model lifecycle management including 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.
  • Expertise in Microsoft Azure cloud operations.
  • Deep knowledge of CI/CD pipeline design using Azure DevOps, Git, and YAML.
  • Proven experience leading automated deployment of AI/ML models (batch and real-time).
  • Experience implementing model lifecycle management workflows.
  • Proficiency in building data pipelines with Azure Data Factory, Databricks, and ADLS.
  • Must be able to obtain security clearance.

Preferred Skills

  • Experience with event-driven architecture using Event Grid or Service Bus.
  • Streaming experience with Kafka or Event Hubs.
  • Containerization and orchestration using Docker, Kubernetes, or AKS.

Key Skills
Education

Any Graduate

Back To Jobs