Lead and manage the machine learning team to build state-of-the-art AI models, focusing on user experience personalization, recommendations and operation automation.
Design and implement ML solutions to personalize customer and agent experience across the insurance lifecycle (quote, bind, service, claim, etc.).
Implements AI solutions to optimize processes and reduce operational costs.
Lead GenAI effort for both operation automation and customer experience improvement.
Collaborate with leadership, product, and technical teams to align ML strategy with business goals.
Maintain cutting-edge knowledge of advancements in AI, include in Machine learning algorithms, Deep Learning, Generative AI, NLP, and LLMs, and apply them to drive innovation within the organization.
Provide leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and excellence.

Minimum: B.S. Data Science, Computer Science, Mathematical or related
Minimum: 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
Minimum: 5+ years of experience in application developments.
Minimum: 5+ years management experience
Preferred: 10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI.
Preferred: 5+ years experience in building large scale enterprise application and platform.
Preferred: 8+ years leadership experience
Preferred: 3+ experience on insurTech
Minimum: 10+ years of experience in Machine Learning algorithms, Deep Learning, NLP, LLMs, and Generative AI.
Strong background in applied research and engineering, with a demonstrated ability to lead projects from R&D to deployment.
Knowledge in large-scale system deployment of AI models.
Expertise in building and optimizing POCs, with hands-on experience in training and fine-tuning AI models.
Advanced proficiency in Java, Python, ML frameworks and ml libraries.

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Director of Engineering – AI/ML

Key skills