Machine Learning Engineer - Fraud Risk

Rain seeks a senior Machine Learning Engineer to develop scalable systems for fraud and anomaly detection. Ideal candidates have extensive experience in ML production environments, particularly in fraud detection. Strong Python and ML framework skills are essential.

In this role, you'll architect and build scalable machine learning systems focused on fraud detection and anomaly detection. You'll be responsible for developing end-to-end ML pipelines, ensuring that models are effectively trained, deployed, and monitored in a production environment.

Working within the fraud risk management team, you'll design low-latency decision systems and lead efforts in model explainability and robustness. Collaboration with cross-functional teams will be crucial to meet service level agreements and enhance the ML development lifecycle.

We have an opening for a Machine Learning Engineer - Fraud Risk in United States within IT & Technology, Engineering.