Build production AI solutions with Azure Machine Learning and Python as a Senior Machine Learning Engineer for Metrolinx. Work hybrid, onsite three days weekly in Toronto.This senior role focuses on moving machine-learning models from experimentation into reliable production environments. You will use Azure AI Foundry, MLOps, CI/CD, containers, APIs, automation, deployment, monitoring, and observability.

The work supports reusable enterprise deployment patterns and operationalized machine-learning solutions.Key Responsibilities:

Deploy and integrate AI and machine-learning solutionsEstablish reusable deployment patterns, tooling,



and automationMonitor and operationalize production machine-learning solutionsCreate models and train them using available dataDesign systems, run experiments, and implement algorithmsRequirements:

Advanced Azure Machine Learning and Azure AI Foundry experienceStrong Python and machine-learning engineering expertiseExperience with MLOps, CI/CD, containers, APIs, and automationKnowledge of statistics, algorithms, feature engineering, and model evaluationExperience with SQL, Git, Databricks, Power BI, and JiraApply senior Python, Azure Machine Learning, and MLOps expertise to reliable AI production delivery at Metrolinx.

📌 Senior Azure Machine Learning Engineer (Winnipeg)
🏢 S M Software Solutions
📍 Winnipeg