Senior Machine Learning Engineer
Core
Build, scale, and maintain a resilient, sub-millisecond real-time ML processing platform for fraud and AML risk intelligence products.
Role type
Senior IC machine learning engineer (MLOps & production systems)
Builds
Enterprise-grade Machine Learning Platform for real-time fraud detection and AML risk scoring
Domain
FinTech, Fraud Prevention, AML, Real-time Data Systems
Deliverable
production ML models
Required skills
Python, AWS SageMaker, Infrastructure as Code (Terraform/CloudFormation), CI/CD pipelines, Microservices architecture, Real-time data streaming, Online feature stores, PyTorch, TensorFlow, Scikit-learn, Apache Spark
Preferred skills
Experience in Fraud/AML/transactional risk scoring systems, Familiarity with risk platforms (NICE Actimize, RiskShield, FCRM, Pega)
Technologies
AWS, Terraform, CloudFormation, PyTorch, TensorFlow, Scikit-learn, Apache Spark, SageMaker
Responsibilities
Partner with Data Scientists to translate experimental logic into production-ready systems; Design high-performance microservice APIs with sub-millisecond latency; Architect and maintain end-to-end AWS MLOps infrastructure; Implement real-time data streaming and online feature store management; Set up automated monitoring, drift detection, and continuous training loops.
Seniority
Senior, hands-on IC
