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MLOps Data Engineer: Build & Scale AI Pipelines; Hybrid
Job Description & How to Apply Below
A modern mutual insurance company in Toronto seeks an Associate Data Engineer - MLOps to develop and maintain infrastructure for machine learning and AI models. You will design data pipelines, optimize workflows, and ensure adherence to industry standards. The ideal candidate has a graduate degree in a technical field, strong proficiency in Python and SQL, and knowledge of data pipeline frameworks like Databricks.
The salary range for this role is $57,500 to $95,000, with opportunities for bonuses and a comprehensive benefits package.
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