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 typesBuild feature pipelines and training datasets from signalsRun offline experiments and productionize solid approachesImprove model reliability, latency,
and operational robustnessMonitor health and define retraining workflows as patterns evolveRequirements:
Six-plus years launching machine learning models at scaleStrong Python and production-quality coding experienceTabular classification experience with gradient-boosted treesDeep learning framework experience, preferably PyTorchDistributed processing and machine learning lifecycle tooling experienceApply senior machine learning expertise to real-time fraud prevention, production systems, monitoring, and measurable transaction decisions at Affu.
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