Remote
•
Today
looking for a Senior MLOps/DevOps Engineer to support the design, implementation, and maintenance of scalable ML and data platform solutions on Azure. This role will drive best practices in CI/CD, Kubernetes-based deployments, and MLOps, enabling reliable and efficient model development and deployment. Key Responsibilities: CI/CD pipeline design and automation using Azure DevOpsArchitect and manage Kubernetes (AKS) environments for ML workloadsEnable end-to-end MLOps workflows across Azure ML an
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Contract
$40 - $50















