Azure DevOps / AI-MLOps Engineer

Job Description

As an Azure DevOps / AI-MLOps Engineer, you will be responsible for:

• Supporting the development, deployment, and optimization of AI/ML workloads, including GenAI agents and AI-enabled applications.
• Implementing AI/MLOps best practices for automation, governance, observability, reliability, token optimization, and cost efficiency.
• Designing and operating Databricks-based data and AI/ML platforms, including Unity Catalog, jobs, clusters, permissions, and CI/CD integration.
• Automating Azure and Databricks infrastructure using Terraform and Infrastructure as Code best practices.
• Designing Azure DevOps and GitHub Actions pipelines for application, infrastructure, and AI/ML lifecycle automation.
• Collaborating with clients and multicultural Agile teams to understand requirements and deliver scalable Azure and AI/MLOps solutions.
  

Profile Requirements

we are looking for someone with:

• Strong experience in AI/MLOps, GenAI agents, model deployment, governance, monitoring, and cost/token optimization.
• Extensive hands-on experience with Databricks, including Unity Catalog, jobs, clusters, permissions, and CI/CD integration.
• Strong expertise in Terraform for Azure and Databricks infrastructure automation.
• Solid experience with Azure DevOps, GitHub Actions, CI/CD pipelines, Python, PowerShell or Bash.
• Good understanding of core Azure services, including Networking, Compute, Storage, Security, Identity, and Monitoring.
• Experience with Docker, Kubernetes, and Azure data/AI tools such as Azure ML, Azure AI Foundry, Azure OpenAI, and related services.
• Excellent communication, problem-solving, and collaboration skills.