Preferred Background •Major in CS, Data Science, AI/ML, or Engineering •Familiarity with Python and common ML libraries •Interest in applied AI, ML systems, or AI-enabled applications
Internship Description
This internship provides students with hands-on, project-based exposure to applied AI systems, including machine learning, computer vision, NLP / LLM-based applications, and AI-enabled workflows. Participants will work on guided AI projects under mentor support, focusing on how AI models are applied within real software systems rather than academic research alone.
Activities & Exposure
• Practice building ML workflows using Python and common AI libraries
• Explore data preprocessing, model training, and evaluation in applied settings
• Gain experience integrating AI models into end-to-end project pipelines
• Learn how modern AI tools and APIs are used in practical applications
• Participate in weekly milestones and technical reviews
Outcomes
• A clearer understanding of applied AI system design
• Experience explaining AI workflows and trade-offs
• A demonstrable project suitable for resumes and interviews
Requirements
Preferred Background
Major in CS, Data Science, AI/ML, or Engineering
Familiarity with Python and common ML libraries
Interest in applied AI, ML systems, or AI-enabled applications