Job Title: Machine Learning Engineer (Azure AI / MLOps) Employment Type: Contract Start Date: 2026-11-23 End Date: 2027-05-23 Location: Toronto Work Arrangement: Hybrid – 3 days onsite per week Must Haves: Advanced hands-on experience with Azure Machine Learning, Microsoft Foundry (Azure AI Foundry), and MLOps, including CI/CD, containers, APIs, automation, model deployment, monitoring, and observability.

Robust

Python and Machine Learning Engineering skills, with demonstrated experience taking ML models from experimentation into reliable production environments.

Experience with the following technology stack: Python, SQL, Power BI, Power Automate, VS Code, Git, Jira, Azure ML Studio, Azure AI Foundry, and Databricks. Deep understanding of Machine Learning algorithms and statistical methods, including classification, regression, clustering, and feature engineering.

Experience with model evaluation, hyperparameter tuning, model drift, retraining, performance optimization, and production model troubleshooting.

Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI-generated results are vetted by our team, and decisions regarding candidate progression are always made by a human.

📌 Machine Learning Engineer (Toronto)
🏢 Bevertec
📍 Toronto