Machine Learning Engineer at AAA Life designing AI solutions for life insurance operations. Collaborating with teams to enhance operational efficiency and decision-making through advanced ML systems.
Responsibilities
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.
Partner with strategic vendors and platform providers to explore and integrate enterprise-grade GenAI capabilities into AAA Life’s ecosystem.
Translate business problems into practical AI solutions, leveraging internal data and LLMs to create scalable tools.
Implement and refine MLOps practices to support the deployment and monitoring of AI agents and services.
Collaborate with stakeholders across operations, IT, and automation to align AI initiatives with business goals.
Mentor junior engineers and advocate for best practices in responsible, sustainable AI implementation.
Requirements
Bachelor’s degree in a quantitative discipline (Computer Science, Mathematics, etc.)
1-3 years of experience working in a data science or ML engineering role.
Understanding of basic MLOps principles and software engineering best practices.
Strong proficiency in Python and familiarity with machine learning frameworks.
Ability to perform data wrangling, exploratory analysis, and model validation.
Clearly and effectively communicate complex ideas across multiple teams and varying levels of technical understanding.
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