Senior Engineer - Machine Learning - Regulatory
Core
Build and deploy AI/ML systems to monitor financial markets, detect violative behavior, and ensure market integrity using terabytes of daily data.
Role type
Senior Machine Learning Engineer (Regulatory)
Builds
Production AI agent systems, ML training/deployment infrastructure, and data pipelines for market surveillance.
Domain
Financial markets / Regulatory compliance / Time-series data
Deliverable
production ML models
Required skills
Python, SQL, Deep Learning (PyTorch), Time-series modeling (TCNs, transformers), LLM agent systems, Anomaly detection, Model lifecycle management, CI/CD, Docker
Preferred skills
Experience with Snowflake/Databricks, Explainability solutions, Multi-GPU distributed ML
Technologies
PyTorch, Snowflake, Python, SQL, Docker, CI/CD, LLM APIs
Responsibilities
Develop and operate AI agent systems in production; Own and evolve ML training and deployment infrastructure; Build production-quality data pipelines for terabytes of daily data; Mentor junior and mid-level engineers; Design and develop test-driven Python code; Develop explainability and process-compliance solutions; Track and evaluate ML model performance across the lifecycle.
Seniority
Senior, hands-on IC with mentorship
