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
Cloud DevOps Engineer • Garden Grove, California, United States
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