Description

You design and implement MLOps processes and solutions within the Azure ecosystem.

This role is on-site.

Responsibilities

• Build and manage CI/CD pipelines using AzureML and Azure DevOps.
• Develop test automation scripts to validate deployment processes.
• Manage infrastructure using Azure Resource Manager templates and Infrastructure as Code.
• Collaborate within large, global delivery teams using Agile or SAFe methodologies.
• Own the release pipeline for machine learning workflows.

Required Skills

• 10+ years of experience implementing MLOps solutions in Azure.
• Proficiency with AzureML, Azure DevOps, Azure Kubernetes Service (AKS), and Azure Databricks.
• Hands-on experience with scikit-learn and compatible machine learning frameworks.
• Strong scripting skills in Python, PySpark, PowerShell, or Azure CLI.
• Experience with Git and version control systems.
• Proven track record of executing at least two Azure MLOps projects.
• Experience working in teams of 15+ members within a global delivery model.
• Working knowledge of security and compliance standards in Azure.
• Experience working within Agile or SAFe frameworks.

Preferred Skills

• Microsoft Certified: Azure AI Engineer Associate.
• Microsoft Certified: Azure DevOps Engineer Expert.

Key Skills

Education

Any Graduate