Staff Machine Learning Engineer
Core
Set technical direction for transaction and merchant risk models, establish MLOps workflows, and translate payments problems into modeling opportunities.
Role type
Staff Machine Learning Engineer (Payments/Fintech)
Builds
Production ML models for risk, underwriting, fraud, and credit; MLOps infrastructure and experimentation pipelines.
Domain
Fintech, payments, lending, risk management
Deliverable
production ML models
Required skills
ML engineering, modeling architecture, production deployment, model monitoring, drift detection, retraining, incident response, precision/recall optimization, operational cost management, explainability, latency optimization, regulatory compliance, technical leadership, system design, stakeholder collaboration
Preferred skills
Payments lifecycle modeling, fraud detection, credit modeling, KYC/KYB, AWS SageMaker, feature stores, MLOps tooling, people leadership
Technologies
AWS SageMaker, feature stores, MLOps tooling
Responsibilities
Define technical direction for model portfolio; establish experimentation and monitoring workflows; prioritize ML roadmap with product and engineering; mentor ML engineers and raise technical standards.
Seniority
Staff, hands-on IC with strategic influence
