AI & Machine Learning Engineering Internship

Support the design, development, and testing of AI/ML initiatives under senior engineering guidance.
Execute data collection, preprocessing, and feature engineering to drive improved model performance.
Build and evaluate proof-of-concept machine learning solutions using Python and tools such as Copilot Studio, Azure AI Foundry, or Google AI.
Assist in model testing and validation across multiple mediums and environments.
This hybrid internship requires on-site work in Exton, PA three days per week, with a June to August schedule.
Gain practical experience in data-driven AI/ML workflows and collaborate with a cross-functional team to deliver real-world impact.