A company is looking for a Cloud DevOps Engineer to support the development and maintenance of scalable machine learning and data platform solutions on Azure. Key Responsibilities Design and automate CI/CD pipelines using Azure DevOps to streamline deployment processes Architect and manage Kubernetes (AKS) environments tailored for machine learning workloads Enable comprehensive end-to-end MLOps workflows utilizing Azure ML and Databricks platforms Required Qualifications Strong expertise in Azure DevOps, CI/CD, and Kubernetes (AKS) Experience with Azure cloud services, Azure ML, and Databricks Solid understanding of MLOps principles and ML lifecycle management in production environments Knowledge of Terraform and monitoring/observability tools is preferred