Director of Engineering, AI/ML
$236,161–$328,002 year
RemoteUnited States or US
Job Summary
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 experiences across the insurance lifecycle, while driving GenAI efforts for both operational automation and customer experience improvement. Optimize processes to reduce operational costs and implement AI solutions that address insurtech challenges. Oversee the entire machine learning lifecycle from concept to deployment, collaborating with leadership, product, and technical teams to align ML strategy with business goals. Maintain cutting-edge knowledge in machine learning algorithms, deep learning, generative AI, NLP, and LLMs to drive innovation within the organization. Provide leadership and mentorship to junior team members, fostering a culture of innovation, collaboration, and excellence.
Required Qualifications
- 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
Desired Qualifications
- 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
- Experience on public cloud such as aws, sagemaker, MLflow, etc.
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