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
- 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.

📌 Senior AI Machine Learning Data Engineer (Toronto)
🏢 Cloud Resourcing
📍 Toronto