Remote AI/ML Engineering Director

Mercury Insurance Services, LLC; United States; Remote; USD 133,226 - 346,026; Full time

Benefits offered by this job

Competitive compensation

Flexibility to work from anywhere in the United States

Paid time off

Incentive bonus programs

Medical, dental, and vision insurance

401(k) retirement savings plan with company match

Promotional opportunities

Education assistance

Health and wellbeing resources

Job summary

Mercury Insurance Services, LLC is looking for a Director of Engineering, AI/ML to lead and manage a team to develop and scale innovative AI models for internal automation and customer experience enhancement. The ideal candidate will have over 8 years of experience in Machine Learning and AI, with a strong focus on personalization and operational cost reduction. The position offers flexibility to work from anywhere in the U.S. and includes numerous benefits like competitive compensation, medical, and education assistance.

Qualifications

• 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
• 5+ years of experience in application developments.
• 5+ years management experience.

Responsibilities

• Lead and manage the machine learning team to build AI models focusing on personalization.
• Design and implement ML solutions for customer experience across the insurance lifecycle.
• Collaborate with leadership and teams to align ML strategy with business goals.

Skills

Machine Learning algorithms

Deep Learning

NLP

LLMs

Generative AI

Java

Python

ML frameworks

ml libraries

Communication skills

Education

B.S. in Data Science, Computer Science, Mathematics or related

M.S./PhD in Data Science, Computer Science, Mathematics or related

Tools

AWS

Sagemaker

MLflow

Job description

Mercury Insurance Services, LLC is looking for a Director of Engineering, AI/ML to lead and manage a team to develop and scale innovative AI models for internal automation and customer experience enhancement. The ideal candidate will have over 8 years of experience in Machine Learning and AI, with a strong focus on personalization and operational cost reduction. The position offers flexibility to work from anywhere in the U.S. and includes numerous benefits like competitive compensation, medical, and education assistance.