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. Robust 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
Strong 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.

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