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 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
Solid 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 Toronto
🏢 Indotronix UK
📍 Toronto