Senior MLOps / DevOps Engineer at ConvexTech Inc. | Torre

Senior MLOps / DevOps Engineer

You will architect scalable MLOps and data platforms on Azure, driving innovation across diverse industries.
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Full-time

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Shared by
Laura Motta
5 days ago

Requirements and responsibilities


Senior MLOps/DevOps Engineer to support the design, implementation, and maintenance of scalable ML and data platform solutions on Azure. Responsibilities include CI/CD pipeline design and automation using Azure DevOps; Architect and manage Kubernetes (AKS) environments for ML workloads; Enable end-to-end MLOps workflows across Azure ML and Databricks; and partner with Data Science and Engineering teams to improve scalability, reliability, and security. Qualifications include strong expertise in Azure DevOps, CI/CD, and Kubernetes (AKS); experience with Azure cloud, Azure ML, and Databricks; solid understanding of MLOps and ML lifecycle in production environments. Nice to Have Terraform, monitoring/observability tools, ML model serving frameworks.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)
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