Data and AI Rotational Engineer

Overview: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 Data and AI Rotational Program as an Associate Data Engineer located at our Global Headquarters in Danboro, PA.As the Associate Data Engineer, you will work closely with our Information Services team and our Data & AI Special Ops Committee to rotate through three of the four areas of our Data Group: Data Engineering, Data Visualization, and Data Science and Modeling and AI Engineering. 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!Perks and Benefits:Medical & Employer Paid: Dental and Vision401k and Employer MatchPaid time off and holidaysTuition reimbursementParental LeavePaid On the Job TrainingPerformance incentive bonusesCommunity VolunteeringTalent Referral Bonus ProgramEmployee Centric CultureCompany Provided Technology (laptop, phone, monitors for office and home environment)Onsite GymWHAT YOU WILL DO:Data Handling/Exploration: Collect, preprocess, analyze, and visualize large datasets to identify trends and patternsModel 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 optimizationSupport AI Tool Development: Assist in the design, development, and implementation of AI-based solutions to enhance various company processesCollaboration: Work closely with cross functional teams to understand business problems/requirements and integrate Data & AI solutions into existing workflowsResearch: Stay updated with the latest advancements in AI and machine learning and suggest innovative techniques to improve tool performanceDocumentation: Help maintain comprehensive documentation of AI/ML models, processes, and results for future reference and continuous improvementRisk 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 factorsEducation: May 2026 graduate in either bachelor's or preferably a master's degree in one of the following areas: Computer Science, Computer Engineering, Artificial Intelligence, Data ScienceTechnical Skills:Proficiency in programming languages such as Python, R, and/or SQL • Basic knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, tidymodels, keras)Understanding of data preprocessing, feature engineering, and model evaluation techniquesFamiliarity with cloud platforms (e.g., AWS, Azure) for deploying data solutions is a plusFamiliarity with relational and NoSQL databasesProficiency with version control systems like GitExperience building AI agents to perform tasks, analyze data sets, summarize findings, etcExperience in developing machine learning models is a plus, but not requiredExposure to data visualization tools such as Qlik, Tableau, Power BI, or similarEagerness to learn and stay updated on emerging data science and AI technologiesAdditional Skills That Will Help You Be Successful in This Role:Ability to demonstrate problem-solving and analytical skills.Strong communication (verbal and written) and collaboration abilities.Detail-oriented with a focus on delivering high-quality solutions.Strategic Thinking: Ability to align AI initiatives with business goals and drive strategic outcomes.Innovative Mindset: Enthusiasm for exploring new AI technologies and methodologies to improve existing processes.