Intern-Artificial Intelligence & Data

About Dunmore International Corp Acquired by Steel Partners in February 2018 as part of the Diversified Industrial Segment, Dunmore manufactures innovative technical films for Aerospace, Automotive, Commercial Graphics, Packaging applications. Dunmore has deep expertise in novel coatings, films and multi-layer laminates based on 14,000 unique chemistries and constructions, and significant experience in handling foils, plastics and fabrics. As a trusted Industry partner for over 50 years, Dunmore collaborates with customers in high growth markets to design, develop and manufacture a range of highly engineered value-added product solutions. Dunmore clients include several Fortune 500 companies across 25+ countries and is a Gold Level Supplier to one of the world’s largest aircraft manufacturers. Dunmore’s mission is to delight its customers through technical innovation, high levels of service and open collaboration to solve difficult application problems.

Summary The AI & Data Intern will support Dunmore’s data infrastructure, machine learning, and artificial intelligence initiatives through hands-on projects focused on data modeling, product classification, and AI-enabled workflow analysis. This role provides exposure to enterprise data engineering, machine learning, MLOps, data quality, and agentic AI concepts within a manufacturing environment.

The intern will collaborate with technical and cross-functional teams to help organize and enrich data, develop and test machine-learning approaches, map potential AI-enabled workflows, and support broader adoption of data and AI capabilities across the organization.

Essential Duties And Responsibilities

• 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