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. Strong software engineering practices are required. Key Responsibilities:

Design scalable production-grade data pipelines for AI/ML workloads Develop ingestion, transformation, and feature engineering workflows Prepare training, inference, and RAG grounding datasets Integrate data pipelines with AI/ML workloads Build reliable, maintainable production-ready data solutions Requirements:

10–15 years of data engineering experience Advanced hands-on expertise in Python and SQL Robust ETL/ELT, APIs, integration, and transformation skills Cloud-based data platform experience Working knowledge of the Azure data and AI ecosystem Apply advanced Python, SQL, Azure, and pipeline engineering skills to support Generative AI data solutions in Toronto.

📌 Senior AI Machine Learning Data Engineer (Winnipeg)
🏢 Indotronix UK
📍 Winnipeg