Director, Machine Learning
Core
Build and lead an AI/ML organization to support an advanced immigration case management platform, focusing on document understanding, information extraction, NLP, retrieval, and agentic automation.
Role type
Director, Machine Learning (Hands-on leadership)
Builds
Production-grade document AI, LLM, and agentic automation systems for complex case documents and correspondence
Domain
Legal/Immigration services + Applied Machine Learning
Deliverable
production ML models
Required skills
Organizational scaling, technical strategy, LLMs and agentic systems, RAG and context optimization, document understanding, NLP, information extraction, build-versus-buy decisions, ML system architecture, cost and quality optimization
Preferred skills
Healthcare, legal, or financial services regulated environment experience
Technologies
LLMs, RAG, agentic systems, NER, document extraction, search and ranking, classification
Responsibilities
Build and scale the ML engineering organization; Define technical strategy for document AI and agentic systems; Own ML systems architecture and evaluation pipelines; Drive continuous optimization of model performance and cost; Partner with Product and Legal Operations to translate workflow requirements into ML capabilities; Report on organization health and business outcomes
Seniority
Director, hands-on leadership
