AI & Data Intern: Product Modeling & ML in Manufacturing

Dunmore; Bristol Township (Bucks County); On-site; USD 25,000 - 39,000; Full time

Job summary

Dunmore is seeking an AI & Data Intern to support data infrastructure, ML initiatives, and AI-enabled workflows in a manufacturing environment. You will work with technical and cross-functional teams to organize data, develop ML approaches, and map AI-enabled processes.

You will gain exposure to data modeling, MLOps, data quality, and enterprise data engineering, helping drive adoption of AI capabilities across the organization.

Qualifications

• Enrollment in Bachelor’s or Master’s program in CS/DS/Math or related field.
• Coursework or project experience in AI/ML or data engineering preferred.
• Strong analytical and communication skills.

Responsibilities

• Support data modeling and integration to improve data quality and accessibility.
• Develop and evaluate ML approaches for product-family mapping and BOM relations.
• Assist with data prep, feature development, model testing, and documentation.
• Enrich centralized data models by identifying data relationships and gaps.
• Map AI-enabled workflows and support adoption across the organization.
• Assist with testing of AI workflows, including governance and validation points.
• Research AI/ML/MLOps methods and summarize findings for stakeholders.
• Document methodologies, experiments, results, and recommendations.
• Communicate progress and findings clearly to technical and non-technical audiences.
• Perform AI/data work using approved tools in line with company policies.
• Other duties as needed.

Job description

Dunmore is seeking an AI & Data Intern to support data infrastructure, ML initiatives, and AI-enabled workflows in a manufacturing environment. You will work with technical and cross-functional teams to organize data, develop ML approaches, and map AI-enabled processes.

You will gain exposure to data modeling, MLOps, data quality, and enterprise data engineering, helping drive adoption of AI capabilities across the organization.