Machine Learning Engineer - Fraud Risk

About this role

Rain is seeking a Machine Learning Engineer specializing in fraud risk to develop advanced ML solutions for fraud detection and mitigation. This role offers a chance to create scalable systems and collaborate with a talented team in a fast-paced, innovative environment.

What you'll do

• Design and build ML systems for fraud detection and behavioral analysis
• Maintain end-to-end ML pipelines, including data ingestion and model deployment
• Develop low-latency decision systems with fraud risk data scientists
• Oversee ML infrastructure, including model versioning and deployment strategies
• Establish monitoring and alerting for model performance and data quality
• Lead experiments on model explainability and adversarial robustness

What they're looking for

• 5+ years in ML systems production
• Experience in fraud and anomaly detection
• Advanced proficiency in Python and ML frameworks
• Strong grasp of statistical modeling and machine learning techniques
• Ability to manage ambiguity and work independently
• Collaboration with cross-functional teams

Benefits

• Unlimited vacation time
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