Design scalable AI/ML data pipelines in Toronto with Python, SQL, and Azure expertise. This hybrid Data Engineer role supports production-grade data solutions.
Cloud Resourcing seeks a Data Engineer with 10–15 years of experience designing data pipelines for AI/ML and Generative AI workloads. The work includes ingestion, transformation, feature engineering, training and inference datasets, RAG grounding data, and pipeline integration. Solid software engineering practices are required.

Key Responsibilities
Design scalable production-grade data pipelines for AI/ML workloadsDevelop ingestion, transformation, and feature engineering workflowsPrepare training, inference, and RAG grounding datasetsIntegrate data pipelines with AI/ML workloadsBuild reliable, maintainable production-ready data solutionsRequirements: 10–15 years of data engineering experienceAdvanced hands-on expertise in Python and SQLStrong ETL/ELT, APIs, integration, and transformation skillsCloud-based data platform experienceWorking knowledge of the Azure data and AI ecosystemApply advanced Python, SQL, Azure, and pipeline engineering skills to support Generative AI data solutions in Toronto.

📌 Senior Ai Machine Learning Data Engineer (Canada)
🏢 Cloud Resourcing
📍 Canada