Build real-time fraud models remotely across Canada with Python, tabular learning, and production machine learning expertise at Affu.
As a Senior Machine Learning Engineer on the ML Fraud team, you will develop systems protecting consumers and merchants. You will balance fraud loss, customer experience, and conversion while moving models from prototypes into production. The work spans tabular, graph, and behavioral data, feature pipelines, monitoring, and decision systems.
Key Responsibilities: Lead fraud prediction model development across multiple data types
Build feature pipelines and training datasets from signals
Run offline experiments and productionize robust approaches
Improve model reliability, latency, and operational robustness
Monitor health and define retraining workflows as patterns evolve
Requirements: Six-plus years launching machine learning models at scale
Strong Python and production-quality coding experience
Tabular classification experience with gradient-boosted trees
Deep learning framework experience, preferably PyTorch
Distributed processing and machine learning lifecycle tooling experience
Apply senior machine learning expertise to real-time fraud prevention, production systems, monitoring, and measurable transaction decisions at Affu.