CLDRSRC10407 - Data Engineer - AI/ML - Toronto - Hybrid

Indotronix UK; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Cloud Resourcing seeks a Data Engineer to design and implement scalable data pipelines for AI/ML workloads in a hybrid Toronto environment. The role focuses on production-grade data infrastructure, feature engineering, and robust data ingestion and transformation.

Ideal candidates possess strong Python and SQL skills, ETL/ELT experience, APIs, and cloud-based data platforms, with deep expertise in Azure data and AI services.

Qualifications

• Significant hands-on experience designing and developing scalable, production-grade data pipelines for AI/ML and Generative AI workloads, including data ingestion, transformation, feature engineering, training and inference datasets, RAG/grounding data, and AI/ML pipeline integration.
• Advanced hands-on expertise in Python, SQL, ETL/ELT, APIs, data integration and transformation, and cloud-based data platforms, applying strong software engineering practices to build reliable, scalable, maintainable, and production-ready data solutions.
• Strong working knowledge of the Azure data and AI ecosystem, Azure Machine Learning…

Skills

Data pipelines

Python

SQL

ETL/ELT

APIs

Data integration

Azure

Cloud platforms

Software engineering

Job description

CLDRSRC10407 - CLDRSRC10407 - Data Engineer - AI/ML - Toronto - Hybrid

[Toronto, ON, M5A 3N7], Canada

10 - 15 Years

N/A

Posted 2 days ago

About Company

Cloud Resourcing is IT focused recruitement firm with focus on finding the bext role for the qualified candidates. We are seeking qualified resource for the following:

Job Description

Must Haves:

• Significant hands-on experience designing and developing scalable, production-grade data pipelines for AI/ML and Generative AI workloads, including data ingestion, transformation, feature engineering, training and inference datasets, RAG/grounding data, and AI/ML pipeline integration.
• Advanced hands-on expertise in Python, SQL, ETL/ELT, APIs, data integration and transformation, and cloud-based data platforms, applying strong software engineering practices to build reliable, scalable, maintainable, and production-ready data solutions.
• Strong working knowledge of the Azure data and AI ecosystem, Azure Machine Learning...