Lead ML Engineer — Build Scalable AI Platforms (Raleigh)

LexisNexis Risk Solutions; Raleigh (NC); On-site; USD 115,400 - 192,300; Full time

Job summary

LexisNexis Risk Solutions, based in Raleigh, NC, is seeking a Machine Learning Engineer Lead. This role involves designing, building, and operating scalable AI/ML systems while leading a team of engineers. The ideal candidate will have 8-10 years of experience in machine learning/software engineering and at least 2-3 years in a management position. Responsibilities include providing architectural guidance and ensuring compliance with AI standards. A competitive salary range from $115,400 to $192,300 along with an annual incentive bonus is offered.

Qualifications

• 8-10 years of Machine Learning/Software Engineer experience.
• 2-3 years of people management experience.
• Strong software engineering background with exposure to large unstructured data.

Responsibilities

• Lead, mentor, and grow a team of 4-5 ML engineers.
• Provide architectural direction and code-level guidance.
• Ensure compliance with enterprise data governance and responsible AI standards.

Skills

Machine Learning

Software Engineering

Team Leadership

Architecting AI Solutions

Infrastructure Patterns

Education

Master’s or Bachelor's degree in Computer Science

Job description

LexisNexis Risk Solutions, based in Raleigh, NC, is seeking a Machine Learning Engineer Lead. This role involves designing, building, and operating scalable AI/ML systems while leading a team of engineers. The ideal candidate will have 8-10 years of experience in machine learning/software engineering and at least 2-3 years in a management position. Responsibilities include providing architectural guidance and ensuring compliance with AI standards. A competitive salary range from $115,400 to $192,300 along with an annual incentive bonus is offered.