Azure Ai Pipeline Developer
Altis
Advance Azure AI initiatives from Toronto through production-grade data pipelines, machine learning datasets, and strong software engineering practices.This Senior Software Developer, ETL role focuses on enterprise AI, Generative AI, advanced analytics, and trusted data access. You will use Python, SQL, Azure Machine Learning, Microsoft Foundry, APIs, and cloud-based data platforms. The hybrid contract requires three onsite days weekly near Union Station and continues until May 31, 2027.Key Responsibilities:
Develop ETL/ELT pipelines for analytics, AI, and machine learningPrepare datasets for features, training, inference, and RAGIntegrate cloud platforms, applications, databases, APIs, and systemsSupport deployment, troubleshooting, monitoring, and technical documentationTranslate stakeholder requirements into production-ready data solutionsRequirements:
Advanced Python, SQL, ETL/ELT, and API integration expertiseExperience with Azure platforms and Azure Machine LearningKnowledge of Microsoft Foundry, ML pipelines, training, and monitoringExperience with enterprise applications and modern data frameworksStrong analytical, troubleshooting, and collaboration skillsBring Azure data engineering, AI pipeline development, and integration expertise to enterprise machine learning and Generative AI initiatives.
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Develop ETL/ELT pipelines for analytics, AI, and machine learningPrepare datasets for features, training, inference, and RAGIntegrate cloud platforms, applications, databases, APIs, and systemsSupport deployment, troubleshooting, monitoring, and technical documentationTranslate stakeholder requirements into production-ready data solutionsRequirements:
Advanced Python, SQL, ETL/ELT, and API integration expertiseExperience with Azure platforms and Azure Machine LearningKnowledge of Microsoft Foundry, ML pipelines, training, and monitoringExperience with enterprise applications and modern data frameworksStrong analytical, troubleshooting, and collaboration skillsBring Azure data engineering, AI pipeline development, and integration expertise to enterprise machine learning and Generative AI initiatives.
#J-18808-Ljbffr
Vacancy posted more than 2 months ago
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