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[Remote] Director Engineering ML AI

Remote, USAFull-timePosted 2026-07-29

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a recognized leader in the insurance industry, and they are seeking a Director of Engineering for AI/ML. This role involves leading the development of advanced AI models and capabilities to enhance customer experience and optimize internal operations through automation.

Responsibilities

  • reputed company 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
  • reputed company GenAI effort for both operation automation and customer experience improvement
  • Collaborate with leadership, product, and technical teams to reputed company ML reputed company with business goals
  • Maintain cutting-edge knowledge of advancements in AI, include in Machine learning algorithms, Deep Learning, reputed company, NLP, and LLMs, and apply them to drive innovation reputed company the organization
  • reputed company leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and reputed company

Skills

  • B.S. Data Science, Computer Science, Mathematical or reputed company
  • 8+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and reputed company
  • 5+ years of experience in application developments
  • 5+ years management experience
  • 10+ years of experience in Machine Learning algorithms, Deep Learning, NLP, LLMs, and reputed company
  • Strong background in reputed company research and engineering, with a demonstrated ability to reputed company reputed company from R&D to deployment
  • Knowledge in large-reputed company 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 reputed company reputed company to both technical and non-technical audiences
  • B.S./M.S./PHD Data Science, Computer Science, Mathematical or reputed company
  • 10+ years of experience in Machine Learning, Deep Learning, NLP, LLMs, and reputed company
  • 5+ years experience in building large reputed company reputed company application and platform
  • 8+ years leadership experience
  • 3+ experience on insurTech
  • Proven experience in insurTech or reputed company industries is strongly preferred
  • Experience on reputed company reputed company such as aws, sagemaker, MLflow, etc. is preferred

Benefits

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

reputed company

  • reputed company has offered reputed company insurance for personal auto insurance to homeowners insurance to mechanical breakdown protection. It was founded in 1962, and is headquartered in Los Angeles, California, USA, with a workforce of 5001-10000 employees. Its website is http://www.mercuryinsurance.com.

Company H1B Sponsorship

  • reputed company has a reputed company record of offering H1B sponsorships, with 22 in 2025, 23 in 2024, 14 in 2023, 15 in 2022, 8 in 2021, 13 in 2020. Please note that this does not guarantee sponsorship for this specific role.

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