Senior Ai Machine Learning Data Engineer
Cloud Resourcing
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 workloadsDevelop ingestion, transformation, and feature engineering workflowsPrepare training, inference, and RAG grounding datasetsIntegrate data pipelines with AI/ML workloadsBuild reliable, maintainable production-ready data solutionsRequirements:
10–15 years of data engineering experienceAdvanced hands-on expertise in Python and SQLStrong ETL/ELT, APIs, integration, and transformation skillsCloud-based data platform experienceWorking knowledge of the Azure data and AI ecosystemApply advanced Python, SQL, Azure, and pipeline engineering skills to support Generative AI data solutions in Toronto.
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Design scalable production-grade data pipelines for AI/ML workloadsDevelop ingestion, transformation, and feature engineering workflowsPrepare training, inference, and RAG grounding datasetsIntegrate data pipelines with AI/ML workloadsBuild reliable, maintainable production-ready data solutionsRequirements:
10–15 years of data engineering experienceAdvanced hands-on expertise in Python and SQLStrong ETL/ELT, APIs, integration, and transformation skillsCloud-based data platform experienceWorking knowledge of the Azure data and AI ecosystemApply advanced Python, SQL, Azure, and pipeline engineering skills to support Generative AI data solutions in Toronto.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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