Data Engineer, Toronto, ON

About the Role

As a Data Engineer in our Advanced Analytics team, your primary focus will be on ensuring the stability, reliability, and performance of ML models in production environments. You will work closely with data scientists and IT teams to deploy and manage ML models, monitor their performance, develop robust monitoring systems, and automate processes for continuous evaluation. Your expertise in machine learning (ML) model productionisation, model deployment, and automation will be crucial in driving operational excellence and delivering impactful AI solutions. In this role, you will design, develop, and manage ETL data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources. You will be responsible for designing and executing robust data quality checks, along with implementing and maintaining a curated feature store. Additionally, you will deploy and scale existing machine learning models in production, ensuring robust data ingestion, updates, and model scoring. You will collaborate closely with data scientists to provide clean, well-structured data for modelling and to scale and automate experimental models for production use. You will also work with external data engineering teams for infrastructure setup and database management, while handling project-specific data needs internally. You will collaborate with external teams to ensure infrastructure aligns with deployment, but you will own the ML model lifecycle internally.