Intern-Artificial Intelligence & Data

Dunmore manufactures technical films, coatings, and multilayer laminates for aerospace, automotive, commercial graphics, and packaging applications. The AI & Data Intern will support enterprise data infrastructure, machine learning, and artificial intelligence initiatives through data modeling, product classification, AI-enabled workflow analysis, experimentation, documentation, and stakeholder communication.

What you'll do:

• Support data modeling and integration initiatives to improve the structure, quality, usability, and accessibility of enterprise data
• Develop and evaluate machine-learning approaches for product-family mapping, including relationships between products and associated Bills of Materials (BOMs)
• Assist with data preparation, feature development, model testing, validation, and documentation for machine-learning projects
• Support development and enrichment of centralized data models by identifying data relationships, inconsistencies, gaps, and data-quality improvement opportunities
• Collaborate with departments to document business processes and develop agentic workflow maps identifying potential opportunities for AI-enabled process support
• Assist with controlled testing of AI and agentic workflows, including autonomy gates, validation criteria, human review points, and other safeguards appropriate to the use case
• Research AI, machine learning, MLOps, and data-engineering methods and summarize findings and potential applications for technical and business stakeholders
• Document methodologies, experiments, results, limitations, and recommendations to support repeatability and knowledge sharing
• Communicate project progress, technical findings, and recommendations clearly to technical and non-technical stakeholders
• Perform AI and data-related work using approved tools, systems, data, and processes and in accordance with applicable Company policies and required oversight
• Other Duties as needed or required

What they're looking for:

• Strong analytical, critical thinking, and problem-solving skills
• Effective written and verbal communication skills with the ability to work collaboratively across functions
• Knowledge of or experience with artificial intelligence, machine learning, data engineering, or related technologies
• Ability to collect, organize, analyze, and model data to support technical projects and experimentation
• Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field
• Standing/Sitting 30/70%
• Walking/Bending/Stooping 30%
• Lifting Requirements: 15 pounds
• Travel by air, rail, auto (5% of time)
• Work in manufacturing area, QA lab and office areas
• Exposures - Odors, Fumes, Noise, Chemicals, Temperature, Vision strain, Moving parts
• Exposure to research methods, technical or scientific literature, and experimentation preferred