Designs, builds, and maintains systems that track, evaluate, and debug non-deterministic AI models and agent workflows. Trace LLM calls, monitor token usage, detect drift, set up automated evaluations, and govern autonomous agent behaviors in production.
- Designs and develops machine learning (ML) and deep learning systems.
- Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
- Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
- Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
- Turns unstructured data into helpful information by auto-tagging images and text-to-speech conversions.
- Develops ML algorithms to analyze huge volumes of historical data to make predictions.
- Runs tests, performs statistical analysis, and interprets test results.
- Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
- Provides specialized consulting, analytical and technical support.
- Exercises judgment to identify, diagnose, and solve problems within given rules.
- Works independently and regularly handles non-routine situations.
- Broader work or accountabilities may be assigned as needed.
- Take measured risks while protecting the
📌 Senior AI Engineer for Observability (Toronto)
🏢 Aimlroles
📍 Toronto
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