Senior AI Machine Learning Data Engineer
18 hours ago
Toronto, ON, Canada
Indotronix UK
Full-time
€90,000 - €130,000 Contract
Free with email or Google
Save this job and keep your search organized
Create a free account to save jobs, create alerts and return to this listing from your dashboard.
Free with email or Google
By continuing, you agree to our Terms & Privacy Policy.
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
- 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.
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.