Senior ML/AI Modeler, Risk Automation Machine Learning
Core
Build and deploy agentic and generative AI systems to automate risk and compliance investigations, detect suspicious activity, and optimize analyst workflows at scale.
Role type
Senior IC Machine Learning Engineer (Risk & Compliance Automation)
Builds
Production-grade AI copilot and autopilot systems for fraud and risk detection
Domain
Fintech, Payments, Risk Management, Machine Learning
Deliverable
production ML models
Required skills
Machine Learning modeling, Large Language Models (LLMs), Transformer-based models, Python, PyTorch, Prompt engineering, System orchestration, End-to-end production deployment
Preferred skills
AI engineering, Traditional NLP techniques, Full-stack ML experience
Technologies
Python, PyTorch, Snowflake, Airflow, GCP, AWS, Claude Code, Codex, Openclaw
Responsibilities
Experiment and deploy AI copilot/autopilot systems at scale; Own end-to-end system including API integration, prompt tuning, and monitoring; Leverage diverse datasets to build transformer models for detection tasks; Collaborate cross-functionally to deploy production-grade systems; Use agentic tools to supercharge research and development
Seniority
Senior, hands-on IC with strategic leadership responsibilities
