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.

#J-18808-Ljbffr

📌 Machine Learning Engineer (Winnipeg)
🏢 Bevertec
📍 Winnipeg