Senior Machine Learning Engineer M/F/Mx
Core
Design, train, evaluate, and deploy robust ML models and LLM-powered features to strengthen a fraud prevention engine and agentic Risk Engine.
Role type
Senior Machine Learning Engineer (Fraud Prevention & Generative AI)
Builds
Scalable fraud detection capabilities, risk scoring systems, and decision-support features for a SaaS platform.
Domain
Financial services, fraud prevention, and generative AI
Deliverable
production ML models
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, large-scale data processing, cloud platforms (AWS, GCP, Azure), fraud detection, risk scoring, decision systems
Preferred skills
Generative AI, large language models (LLMs)
Responsibilities
Design and optimize core ML capabilities for name matching and risk scoring; contribute to the architecture and scaling of the agentic Risk Engine; build and monitor traditional ML models and LLM features; create evaluation frameworks including golden datasets and validation metrics; partner with Product and Engineering to define technical direction.
Seniority
Senior, hands-on IC
