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.

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