Lead ML Engineer — Architect Scalable AI Platforms

LexisNexis; United States; On-site; USD 130,000 - 160,000; Full time

Job summary

LexisNexis is seeking a Machine Learning Engineer Lead to design and operate scalable AI/ML systems that enhance legal research and analytics products. This hands-on role involves leading a team of 4-5 engineers, driving architectural decisions, and managing compliance with responsible AI standards.

The ideal candidate will possess a strong software engineering background, with 8-10 years of experience in ML and production deployment. A Master's or Bachelor's degree in Computer Science is highly desirable.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management experience.
• Strong background in software engineering and ML system design.
• Experience with deploying ML to production.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.
• Establish best practices for ML system design, testing, and deployment.
• Architect distributed ML systems for global products.

Skills

Machine Learning

Software Engineering

Team leadership

Distributed Systems

Architecting AI Products

Education

Master's or Bachelor's degree in Computer Science

Tools

ML deployment frameworks

Job description

LexisNexis is seeking a Machine Learning Engineer Lead to design and operate scalable AI/ML systems that enhance legal research and analytics products. This hands-on role involves leading a team of 4-5 engineers, driving architectural decisions, and managing compliance with responsible AI standards.

The ideal candidate will possess a strong software engineering background, with 8-10 years of experience in ML and production deployment. A Master's or Bachelor's degree in Computer Science is highly desirable.