Job Description
We are seeking a Senior MLOps Engineer to lead the architecture, deployment, and operationalization of machine learning solutions in Azure-based production environments. This role is designed for a highly experienced engineer who can own end-to-end MLOps architecture, contribute immediately, and partner closely with data science, platform, and engineering teams.
This position bridges model development and enterprise-scale deployment, with a strong emphasis on Azure infrastructure, MLOps best practices, and solution design.

Key Responsibilities
 • Architect, deploy, and manage end-to-end MLOps solutions in Azure from development through production.
 • Design and maintain Azure-native ML infrastructure, including Azure ML, Azure DevOps, AKS, and related services.
 • Build and manage CI/CD pipelines for model training, validation, deployment, and monitoring.
 • Partner with data scientists to transform research models into scalable, production-re...