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 (Winnipeg)
🏢 S M Software Solutions
📍 Winnipeg