Director of Engineering, AI/ML

Mercury Insurance is a recognized employer known for its culture and achievements, including a Forbes award. They are seeking a Director of Engineering, AI/ML to lead the development of advanced AI models and capabilities, optimizing operations and enhancing customer experiences through innovative solutions.

Responsibilities:

• 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

Requirements:

• B.S. Data Science, Computer Science, Mathematical or related
• 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
• 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
• Great communication and leadership skills, with the ability to present complex ideas to both technical and non-technical audiences
• B.S./M.S./PHD Data Science, Computer Science, Mathematical or related
• 10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and Generative AI
• 5+ years experience in building large scale enterprise application and platform
• 8+ years leadership experience
• 3+ experience on insurTech
• Proven experience in insurTech or related industries is strongly preferred
• Experience on public cloud such as aws, sagemaker, MLflow, etc. is preferred