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 solutions Establish reusable deployment patterns, tooling,



and automation Monitor and operationalize production machine-learning solutions Create models and train them using available data Design systems, run experiments, and implement algorithms Requirements:

Advanced Azure Machine Learning and Azure AI Foundry experience Solid Python and machine-learning engineering expertise Experience with MLOps, CI/CD, containers, APIs, and automation Knowledge of statistics, algorithms, feature engineering, and model evaluation Experience with SQL, Git, Databricks, Power BI, and Jira Apply senior Python, Azure Machine Learning, and MLOps expertise to reliable AI production delivery at Metrolinx.

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