Rotational Development Program - AI & Data

About the role

At PennEngineering, we innovate and collaborate to make the world a better place. You can contribute to work that matters with a company where diversity, equity and belonging are shared values. We’re committed to fostering an environment for every employee that’s welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. PennEngineering is seeking a motivated, excited, individual to be a part of the PennEngineering AI and Data Rotational Program. As a AI and Data Rotational Engineer, you will work closely with our Information Services team, and our AI and Data Teams, and within our business units. Your first rotation will be with the Data Engineering and Data Visualization teams. Your 2nd and 3rd rotation will be within one of our business units at locations within the US or globally. Your role will be to learn our approach to data in each specific group, with the objective of learning how to best support the design, development, and implementation of AI-driven solutions that optimize and enhance our business operations. This rotational experience offers a unique opportunity to gain hands-on experience with data, apply AI techniques to real-world problems, and contribute to projects that improve efficiency, accuracy, and decision-making processes across different departments and ultimately driving innovative customer solutions. Join us as we build the future in Manufacturing and Engineering!

Responsibilities

• Data Handling/Exploration: Collect, preprocess, analyze, and visualize large datasets to identify trends and patterns
• Model Development: Assist in developing machine learning models using relevant algorithms and techniques for regression, classification, time series, natural language processing (NLP), and clustering applications; to perform customer behavior analysis, prospect valuation, and process optimization
• Support AI Tool Development: Assist in the design, development, and implementation of AI-based solutions to enhance various company processes
• Collaboration: Work closely with cross functional teams to understand business problems/requirements and integrate Data & AI solutions into existing workflows
• Research: Stay updated with the latest advancements in AI and machine learning and suggest innovative techniques to improve tool performance
• Documentation: Help maintain comprehensive documentation of AI/ML models, processes, and results for future reference and continuous improvement
• Risk assessment: Contribute to organizational strategies for identifying and managing the risks of deploying Data & AI applications for developers and end-users, especially pertaining to user experience and human factors

Requirements

Education: May 2027 graduate in either bachelor’s or preferably a master’s degree in one of the following areas: Computer Science, Computer Engineering, Artificial Intelligence, Data Science

Qualifications

• Proficiency in programming languages such as Python, R, and/or SQL
• Basic knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch