Apply machine learning reliability expertise at BMO’s hybrid 33 Dundas Street West workplace, focusing on automation, monitoring, and model performance.
This Senior AI Engineer develops machine learning and deep learning systems for complex, non-deterministic models. You will run experiments, retrain systems, extend frameworks, and analyze extensive historical data. The position also supports observability pipelines, centralized dashboards, statistical testing, and production incident analysis.
Key Responsibilities
Develop machine learning applications and algorithmsRun experiments, tests, and statistical analysisRetrain systems to prevent model driftOptimize machine learning libraries and frameworksPerform root cause analysis for AI failuresRequirements:
Bachelor's degree in a relevant technical domainSeven to ten years of Site Reliability Engineering experienceHighly proficient in automation, monitoring, and observabilityUnderstanding of model architectures and evaluation metricsExposure to heavily regulated industry organizationsBring machine learning, reliability engineering, and observability skills to BMO’s production AI systems and analytical services.
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