AI Engineer

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 AI 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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