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 dataDesign machine learning and deep learning systemsAnalyze relationships between inputs and desired outputsImplement algorithms, tests,
and machine learning experimentsDevelop metrics aligned with business objectives and progressRequirements:
Advanced Azure Machine Learning and Azure AI Foundry experienceHands-on MLOps, CI/CD, containers, APIs, automation, and monitoringStrong Python and machine-learning engineering skillsDeep understanding of algorithms, statistics, evaluation, and optimizationExperience moving models from experimentation into production environmentsApply senior Azure MLOps engineering, Python, and production model expertise across Tri-global and Metrolinx initiatives.
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