AI & Data Science Intern

Carlisle • Carlisle, PA

3d • Onsite

About The Position

The AI & Data Science Engineering Intern will support projects at the intersection of software engineering, applied AI, and materials innovation. The intern will work on initiatives combining agentic AI workflows, computer vision, and data science to accelerate research and development in construction materials. The role includes building end-to-end prototypes integrating backend services, AI models, and user interfaces to drive digital transformation across the organization.

The position is based in Carlisle, Pennsylvania. Travel is not required, and remote work is not available.

Requirements

• Currently pursuing a Master’s or PhD in Computer Science, Data Science, Engineering, or a related field at an accredited university.
• Minimum GPA of 3.0.
• Strong Python programming skills and experience with libraries such as pandas, scikit-learn, OpenCV, TensorFlow, or PyTorch.
• Experience with backend frameworks such as FastAPI, Flask, or Django and frontend/UI tools such as Streamlit, Reflex, or React-based tools.
• Familiarity with LLMs, agentic AI frameworks, or orchestration tools such as LangChain, LlamaIndex, or custom pipelines.
• Solid understanding of machine learning and computer vision principles.
• Interest in applying AI/ML to industrial and materials science challenges.

Responsibilities

• Assist in designing and developing agentic AI workflows that integrate large language models with data sources and multi-agent orchestration.
• Develop and maintain backend APIs and services using frameworks such as FastAPI for AI and data science applications.
• Build interactive dashboards and prototypes with Streamlit, Reflex, or similar tools for internal stakeholders.
• Contribute to computer vision workflows, including SEM image analysis and defect detection, to automate materials characterization.
• Perform data wrangling, exploratory analysis, and statistical modeling on experimental, operational, and customer datasets.
• Collaborate with the team to design, implement, and test machine learning models, including regression, clustering, NLP, and computer vision models.
• Document methodologies, maintain reproducible codebases, and present results to technical and business stakeholders.
• Stay current with emerging tools, frameworks, and best practices in agentic AI, software engineering, computer vision, and data science.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern