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

Machine Learning Engineer

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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