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Azure MLOps Engineer: Scalable ML Infra & Automation
Job Description & How to Apply Below
Gazelle Global is seeking an Azure MLOps engineer to build and maintain scalable cloud ML infrastructure on Azure. You will collaborate with data scientists, forecasters and developers to deploy models and ensure reliable, secure operation at terabyte-scale data processing.
The role focuses on automating deployment, containerization with Docker, and implementing monitoring, logging, and auto-scaling. Strong Azure ML experience and Python skills are essential for success.
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