Review and enhance existing fraud detection logic and mitigation workflows in the production system.
- Tune and optimize model and rules based on real-world data and new fraud trends.
- Implement improvements that strengthen fraud blocking and reduce false positives.
- Collaborate with the data analyst to integrate current detection signals.
- Test and validate changes in val and production environments to ensure safe rollout.
- SQL, Oracle and non-Prod DB
📌 Machine Learning (ML) Engineer (Greater Toronto Area)
🏢 Infowaysolutions
📍 Greater Toronto Area
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.