Senior MLOps Engineer
About this role
Role Summary
We are hiring a Senior MLOps Engineer to design, automate, deploy, monitor, and govern production machine learning systems on Azure. The role requires deep expertise in Azure Databricks, MLflow, Databricks Feature Engineering, Azure Machine Learning, PySpark, CI/CD, containerization, and cloud-native software engineering.
The successful candidate will partner with Data Scientists and Data Engineers teams to operationalize machine learning solutions, establish MLOps standards, and build scalable, reliable, secure, and compliant ML platforms. This role focuses on productionization, deployment automation, model lifecycle management, observability, governance, and platform engineering, rather than model development.
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