Location : Toronto, ON/Hybrid Position Type : Contract Role Start Date 2026-11-23 End Date 2027-04-23 3 days onsite Ideal Candidate Salary: CAD 90-95/Hr (Depending on the experience) Must Have: Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads , including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.

Deep technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with robust knowledge of the Azure data and AI ecosystem , Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry ,



and architectural patterns supporting scalable AI/ML solutions.

Strong understanding of data governance, data ownership, lineage, data quality, security, privacy , and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the AI/ML and model lifecycle.

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 the decision of which candidates move forward is always made by a human.

📌 Senior Data Engineer (Machine Learning) (Winnipeg)
🏢 Bevertec
📍 Winnipeg