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.
Machine Learning Engineer designing, building, and operationalizing AI/ML solutions for mission - critical applications. Collaborating with data engineering teams to support production - grade ML systems in a hybrid work environment.
Senior Data Platform Engineer optimizing AI/ML infrastructure on AWS at Trajector. Building scalable solutions for data governance, observability, and CI/CD.
Lead Machine Learning Engineer directing innovative AI projects for clients in various sectors. Collaborate to develop AI solutions that enhance efficiency and customer experience.
Associate Director leading machine learning engineering solutions for AI - powered supply chain at S&P Global Mobility. Collaborating with teams to deliver technical solutions and data processing workflows.
Machine Learning Operations Engineer involved in building non - human pilot for aerospace startup. Focus on DevOps and MLOps to enhance infrastructure for innovative machine learning projects.
AI/ML Engineer developing AI solutions leveraging Large Language Models at Deutsche Börse Group. Collaborating with expert developers to enhance internal processes.
Senior Machine Learning Engineer driving innovations in AI and machine learning for Disney's Ad Platforms. Collaborating with cross - functional teams and mentoring junior engineers.
Intern developing machine learning tools within ADEO Services' AI Factory team. Collaborating on software quality and automation alongside a senior ML engineer.
ML Ops Engineer at Early Warning Services supporting predictive models through scalable infrastructure and tools. Collaborating with teams to enhance model productionalization and monitoring efficiency.