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Senior Azure ML Infrastructure Engineer
Simpson Thacher & Bartlett LLP • New York, NY, US • published 2026-09-21 22:42:50.032938
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Simpson Thacher \& Bartlett LLP is looking for a Senior Azure ML Infrastructure Engineer to lead the design, development, and optimization of scalable ML infrastructure on Microsoft Azure. In this role, you will be the technical lead for deploying and maintaining robust (Machine Learning) ML Ops frameworks, ensuring efficient collaboration between data science, engineering, and DevOps teams. You’ll be instrumental in scaling our machine learning capabilities from experimentation to production across multiple use cases. ESSENTIAL JOB DUTIES \& RESPONSIBILITIES Infrastructure Architecture \& Engineering * Lead the architecture and implementation of production\-grade ML infrastructure using Azure Machine Learning, AKS, Azure Data Lake, Azure Databricks, and related services. * Design scalable training and inference environments for deep learning and traditional ML workloads, optimizing performance and cost. MLOps Strategy \& Execution * Define and implement MLOps best practices: versioning, CI/CD for ML pipelines, monitoring, and model governance. * Automate end\-to\-end ML workflows using tools such as MLFlow, Azure ML Pipelines, or Kubeflow. * Build reusable templates and frameworks...
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