Senior ML Engineer: Real-Time Fraud & Anomaly Detection

Rain; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Rain is seeking a senior Machine Learning Engineer to develop scalable systems for fraud and anomaly detection. You will architect and build end-to-end ML pipelines, ensuring models are trained, deployed, and monitored in production.

Within the fraud risk management context, you will design low-latency decision systems, emphasize model explainability, and collaborate with cross-functional teams to meet SLAs and improve the ML development lifecycle.

Qualifications

• Extensive experience in ML production environments, with a focus on fraud detection.
• Strong Python skills and experience with ML frameworks.
• Ability to design scalable ML systems and end-to-end pipelines.

Responsibilities

• Architect and build end-to-end ML pipelines for fraud and anomaly detection.
• Develop scalable, low-latency ML models deployed in production.
• Collaborate with cross-functional teams to meet SLAs and improve ML lifecycle.

Skills

Python

ML frameworks

Job description

Rain is seeking a senior Machine Learning Engineer to develop scalable systems for fraud and anomaly detection. You will architect and build end-to-end ML pipelines, ensuring models are trained, deployed, and monitored in production.

Within the fraud risk management context, you will design low-latency decision systems, emphasize model explainability, and collaborate with cross-functional teams to meet SLAs and improve the ML development lifecycle.