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 solutions
Create reusable deployment patterns, tooling, monitoring, and automation
Develop models and use data for training




Define metrics supporting business objectives and model progress
Run machine-learning tests and experiments
Requirements: Advanced Azure Machine Learning and Microsoft Foundry experience
Hands-on MLOps, CI/CD, containers, APIs, and automation experience
Robust Python, machine-learning engineering, and statistics skills
Experience with model deployment, monitoring, observability, and troubleshooting
Experience using Azure, Databricks, SQL, Git, and Power BI
Apply senior machine-learning engineering expertise across Azure MLOps, Python, deployment, monitoring, and production model operations.

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📌 Senior Azure MLOps Engineer (Ontario)
🏢 FlexStaf IT
📍 Ontario