Senior Machine Learning Engineer developing and coaching AI solutions for life insurance operations. Architecting systems and partnering with business units for effective implementation.
Responsibilities
Develop and coach individual MLE’s.
Architecting solutions to solve business problems.
Partnering with Business Units to assess and implement vendor AI tools.
Design and implement intelligent systems using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI to enhance operational efficiency and decision-making.
Develop AI agents that assist internal teams (e.g., Claims, Underwriting, Member Services) with tasks like summarization, document processing, and knowledge retrieval.
Requirements
Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field.
5+ years of hands-on experience developing and deploying machine learning models in production.
Experience working with NLP and/or large language models (LLMs).
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