Now Hiring: Machine Learning Engineer – Fraud | Fintech / Payments
- Location: Chicago, IL (Onsite/Hybrid)
- Compensation: $225K–$275K Base + Bonus & Equity
- Industry: MUST HAVE Fintech | Payments Infrastructure | Fraud Prevention
I'm partnering with a rapidly growing fintech company seeking a Machine Learning Engineer / ML Lead to build and own its fraud detection and risk decisioning systems.
Key Responsibilities:
- Develop and deploy real-time ML models for fraud detection, payment authorization, and merchant risk.
- Build scalable ML pipelines, feature engineering processes, and MLOps infrastructure.
- Improve fraud detection, approval rates, and chargeback prevention.
- Lead ML initiatives from development through production deployment.
Technical Requirements:
- 5+ years in Machine Learning, Applied Data Science, or Production ML.
- Strong experience with Machine Learning, Statistical Modeling, Feature Engineering, MLOps, and Cloud Infrastructure.
- Experience building production fraud-detection and real-time risk-scoring systems.
- Background in payments, payment processing, acquiring, PSPs, or PayFacs.
- Experience with model monitoring, data pipelines, and large-scale transaction data.
Preferred: Experience building ML functions from the ground up, real-time scoring, and fraud/chargeback systems.
Interested or know someone who might be a fit? Message me to learn more!
Sorry, no C2C or sponsorship.
#Hiring #MachineLearning #FintechJobs #FraudDetection #ChicagoJobs #MLOps #Payments #ArtificialIntelligence
Machine Learning Engineer Fraud | Fintech Payments in Chicago at Access Search, Inc.
This position is listed as full time and hybrid. It was posted 2 days ago.