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About the role
- 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.
Benefits
- Flexible working hours
- Professional development opportunities
- Health insurance
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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