Build reliable AI production systems with Azure Machine Learning, MLOps, and Python in a hybrid schedule requiring three onsite days weekly. This senior engineering role connects experimentation with scalable deployment.
The Senior Machine Learning Engineer deploys, integrates, monitors, and operationalizes AI and machine-learning solutions. You will create reusable deployment patterns, tooling, monitoring, and automation for enterprise scale. The work includes model development, data analysis, experiments, and production troubleshooting.

Key Responsibilities

Deploy, integrate, monitor, and operationalize machine-learning solutionsCreate reusable deployment patterns, tooling, monitoring,



and automationDevelop models and use data for trainingDefine metrics supporting business objectives and model progressRun machine-learning tests and experimentsRequirements:
Advanced Azure Machine Learning and Microsoft Foundry experienceHands-on MLOps, CI/CD, containers, APIs, and automation experienceStrong Python, machine-learning engineering, and statistics skillsExperience with model deployment, monitoring, observability, and troubleshootingExperience using Azure, Databricks, SQL, Git, and Power BIApply senior machine-learning engineering expertise across Azure MLOps, Python, deployment, monitoring, and production model operations.
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📌 Senior Azure Mlops Engineer (Canada)
🏢 FlexStaf IT
📍 Canada