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.

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