Machine Learning Lead
Core
Lead and architect scalable AI/ML systems and agentic frameworks for next-generation legal research and analytics products.
Role type
Senior IC Machine Learning Lead (Agentic Systems & Architecture)
Builds
Distributed ML systems, LLM serving and retrieval systems, enterprise-ready agentic frameworks, multi-step reasoning systems.
Domain
Legal technology, AI-driven analytics, large-scale unstructured data processing.
Deliverable
production ML models | infrastructure
Required skills
System design, deploying ML models to production, architectural direction, team leadership, distributed systems design, LLM serving, agentic framework design, multi-step reasoning system design, safety guardrails implementation, evaluation framework design, CI/CD for ML lifecycle, data governance compliance.
Preferred skills
Computer science degree, experience with large user bases and high volumes of unstructured data.
Technologies
AI Architect, CI/CD, LLM, Machine Learning
Responsibilities
Lead, mentor, and develop a team of 4 to 5 machine learning engineers; provide architectural direction and hands-on coding guidance; establish engineering best practices for ML system design, testing, and deployment; conduct design reviews, performance reviews, and technical roadmap planning; architect distributed ML systems that serve multiple global products; standardize infrastructure patterns for LLM serving and retrieval systems; define and implement enterprise-ready agentic frameworks; design multi-step reasoning systems; guide decisions on deterministic workflows versus autonomous agents; implement guardrails, safety layers, and traceability mechanisms; develop evaluation frameworks to measure reasoning quality, hallucination rates, and reliability; establish CI/CD standards for ML lifecycle management; ensure compliance with enterprise data governance and responsible AI standards.
