Position Summary:
MassMutual’s Data Science team is seeking an exceptional, highly motivated and self-directed AI Engineer . In this role, you will perform data-driven research, problem solving, and algorithm development through the systematic application of mathematics, statistics and computer science as well as cutting edge A I methods and technologies. Results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, APIs and other at scale AI applications.
This is an opportunity to join a cross-functional team with diverse backgrounds in applied math, statistics, computer science and physics that have been tasked with developing, maintaining and extracting knowledge and insights from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.
Overall Responsibility:
Lead ML/AI solutions leveraging mathematics, statistics, LLM and other quantitative tools from initial conception to implementation.
Deploy Generative AI/LLM models at scale to achieve business objectives
Evaluate, implement and advise on best practices in AI development
Influence team strategies through innovation and research.
Collaborate with data and software engineers to enable deployment of AI solutions at a large scale.
Develop efficient and scalable Python/R/SQL code and backend API Create prototype AI systems, visualizations, and web applications
Partner with senior leadership to ensure alignment of data science initiatives and company strategy
Lead projects and research initiatives
Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
Mentor junior team members
Candidate Requirements:
Industry recognized expertise
7+ years working with data and relevant computational frameworks and systems
7+ years applying math, stats, probabilistic models and machine learning algorithms to solve complex problems
Proficient in efficient Python coding (OOP, pandas, scikit-learn, pyspark , etc.), and R is a plus
Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
Knowledge of prototyping web application and able to work closely with software engineers
Experience in database design and SQL
Familiar with the following areas: machine learning, probability and statistics, natural language processing, operation research , deep learning, GenAI /large language models, and AI agents
Experience with AI solution development and deployment using various framework and platforms.
Ability to work in a highly collaborative environment
Outstanding communication skills
Experience in Investments and/or Wealth Management is preferred
Education - M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required
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