We are looking for an experienced Azure AI DevOps / MLOps Engineer to design, implement, and maintain CI/CD and MLOps pipelines for cloud, AI, and Machine Learning workloads. The candidate should have strong Azure DevOps experience along with hands-on knowledge of Azure Machine Learning and production AI/ML deployments.
Roles & Responsibilities
- Design and manage CI/CD pipelines using Azure DevOps.
- Build automated MLOps pipelines with Azure Machine Learning for model training and deployment. [learn.microsoft.com], [learn.microsoft.com]
- Automate provisioning of Azure infrastructure using Terraform / Infrastructure as Code.
- Manage model deployment, versioning and production monitoring.
- Implement source control and branching strategies using Git.
- Containerize AI/ML applications using Docker and support Kubernetes-based deployments where required.
- Manage Azure security, authentication, RBAC and service connections.
- Implement monitoring, logging and troubleshooting for production workloads.
- Collaborate with Data Scientists, AI Engineers, Cloud Architects and DevOps teams.
- Support deployment automation across development, testing and production environments.