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.

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