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