Azure AI DevOps Engineer

Role- Azure AI DevOps / MLOps Engineer

Experience: 8-10 Years

Location- Pan India

Job Description-

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.

Mandatory Skills

1. Azure DevOps
2. CI/CD Pipelines
3. Microsoft Azure
4. Azure Machine Learning
5. MLOps
6. Terraform / IaC
7. Docker
8. Kubernetes / AKS
9. Git
10. Python / scripting

Good to Have

• Azure AI services
• MLflow
• Azure Container Registry
• Azure Monitor
• Key Vault
• Azure CLI
• GitHub Actions
• GenAI / LLM deployment exposure