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AAA Life Insurance Company is a division of the American Automobile Association that began in 1969 and today supports over 1.8 million active life insurance and
Senior Machine Learning Engineer
Location
United States
Posted
167 days ago
Salary
0
Seniority
Senior
Job Description
Senior Machine Learning Engineer
AAA - American Automobile Association
Role Description We’re seeking a highly motivated and technically skilled Senior Machine Learning Engineer to join our Automation and AI team. This role requires strong machine learning and data science expertise, excellent coding practices, and the ability to translate real-world business challenges into impactful AI solutions while operating within the core values and operating principles of the organization. The ideal candidate is a hands-on contributor who thrives in a fast-paced, purpose-driven environment. - Develop and coach individual MLE’s. Effectively balance multiple projects and provide guidance to MLE’s on best practices and aligning with organizational objectives. - Architecting solutions to solve business problems. - Partnering with Business Units to assess and implement vendor AI tools. - Assessment of intellectual property and company assets utilized by partners with their 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. - 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. Qualifications - Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field and 7+ years of hands-on experience developing and deploying machine learning models in production. - OR Master’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field and 5+ years of hands-on experience developing and deploying machine learning models in production. - Experience working with NLP and/or large language models (LLMs). Requirements - Excellent communication skills and ability to explain ML results to non-technical audiences. - Strong knowledge of MLOps tools and model monitoring. - Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch. Essential Job Functions While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus. This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
Job Requirements
- Bachelor’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field and 7+ years of hands-on experience developing and deploying machine learning models in production.
- OR Master’s degree in a quantitative discipline (Computer Science, Engineering, Statistics, etc.) or related field and 5+ years of hands-on experience developing and deploying machine learning models in production.
- Experience working with NLP and/or large language models (LLMs).
- Excellent communication skills and ability to explain ML results to non-technical audiences.
- Strong knowledge of MLOps tools and model monitoring.
- Proficiency in Python and ML libraries such as Scikit-learn, TensorFlow, or PyTorch.
- Essential Job Functions
- While performing the duties of this job, the employee is frequently required to stand, walk, sit, use hands to finger, handle, or feel, talk, hear and concentrate. Specific vision abilities required by this job include close vision, distance vision, depth perception, and ability to adjust focus.
- This job requires the ability to perform duties contained in the job description for this position, including, but not limited to, the above requirements. Reasonable accommodation will be made for otherwise qualified applicants as needed to enable them to fulfill these requirements.
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