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 algorithms
Run experiments, tests, and statistical analysis
Retrain systems to prevent model drift
Optimize machine learning libraries and frameworks
Perform root cause analysis for AI failures
Requirements: Bachelor's degree in a relevant technical domain
Seven to ten years of Site Reliability Engineering experience
Highly proficient in automation, monitoring, and observability
Understanding of model architectures and evaluation metrics
Exposure to heavily regulated industry organizations
Bring machine learning, reliability engineering, and observability skills to BMO’s production AI systems and analytical services.

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📌 Senior Machine Learning Reliability Engineer (Ontario)
🏢 Aimlroles
📍 Ontario