Senior Machine Learning Engineer
Core
Design, train, and deploy advanced machine learning models to enhance customer experience and protect against fraud in digital gifting and payments.
Role type
Senior IC machine learning engineer (fraud detection)
Builds
Production ML models for fraud prevention and customer experience optimization
Domain
Fintech / Digital Payments / Fraud Detection
Deliverable
production ML models
Required skills
Probability and statistics, Machine learning frameworks (Keras, PyTorch), Cloud platforms (AWS, GCP, Azure), Scalable ML systems, Real-time model deployment, Data structures and modeling, Fraud detection techniques (anomaly detection, graph-based analytics), MLOps and CI/CD pipelines
Preferred skills
None stated
Technologies
Keras, PyTorch, AWS, GCP, Azure
Responsibilities
Design and refine ML algorithms for fraud detection and CX; Experiment with new techniques and feature selection; Clean and curate large datasets; Deploy and maintain ML models in production; Collaborate with cross-functional teams on ML solutions; Stay updated on emerging ML and AI trends
Seniority
Senior, hands-on IC
