Azure Machine Learning and MLOps expertise shape this senior contract role with Tri-global Solutions Group Inc. in hybrid Toronto work. Within Metrolinx’s Service Delivery team, the Senior Machine Learning Engineer operationalizes AI and machine-learning solutions across enterprise environments. You will use Python, SQL, Azure AI Foundry, Databricks, CI/CD, containers, and monitoring practices. The work establishes reusable deployment patterns, tooling, automation, and observability for reliable production models. Key Responsibilities:

Create and train machine learning models using available data Design machine learning and deep learning systems Analyze relationships between inputs and desired outputs Implement algorithms, tests,



and machine learning experiments Develop metrics aligned with business objectives and progress Requirements:

Advanced Azure Machine Learning and Azure AI Foundry experience Hands-on MLOps, CI/CD, containers, APIs, automation, and monitoring Robust Python and machine-learning engineering skills Deep understanding of algorithms, statistics, evaluation, and optimization Experience moving models from experimentation into production environments Apply senior Azure MLOps engineering, Python, and production model expertise across Tri-global and Metrolinx initiatives.

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📌 Senior Azure Machine Learning Engineer (Toronto)
🏢 Tri-global Solutions Group
📍 Toronto