AI & Data Science Intern

carlislecompanies; Carlisle (Cumberland County); On-site; USD 28,000 - 41,000; Full time

Job summary

Carlisle Companies is seeking an AI & Data Science Engineering Intern to support cutting-edge projects at the intersection of software engineering, applied AI, and materials innovation. The role will work on agentic AI workflows, computer vision, and data science to accelerate R&D in construction materials and build end-to-end prototypes that integrate backend services, AI models, and user interfaces.

You will design and develop agentic AI workflows, build backend APIs with FastAPI, create

Qualifications

• Proficient in Python with data and ML libraries.
• Experience with backend frameworks (FastAPI/Flask/Django) and frontend tools (Streamlit/Reflex/React).
• Familiarity with LLMs and orchestration tools (LangChain, LlamaIndex).

Responsibilities

• Assist design and development of agentic AI workflows.
• Develop backend APIs to support AI/data science apps.
• Build interactive dashboards and prototypes for stakeholders.
• Contribute to computer vision workflows and defect detection.
• Perform data wrangling, exploratory analysis, and modeling.
• Collaborate to design, test, and iterate ML models.
• Document methodologies and present outcomes to stakeholders.

Skills

Python programming

Data analysis

ML & CV concepts

Education

Master’s or PhD in Computer Science or related field

Tools

FastAPI

Flask

Django

Streamlit

Reflex

React

OpenCV

TensorFlow

PyTorch

LangChain

LlamaIndex

Job description

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

Duties and Responsibilities:

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

Qualification:

• Currently pursuing a Master’s or PhD in Computer Science, Data Science, Engineering, or a related field from an accredited university with a minimum 3.0 GPA.
• Strong programming skills in Python with experience in libraries such as pandas, scikit-learn, OpenCV, TensorFlow/PyTorch.
• Experience with backend frameworks (FastAPI, Flask, Django) and frontend/UI tools (Streamlit, Reflex, React-based).
• Familiarity with LLMs, agentic AI frameworks, or orchestration tools (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.

Additional Information:

Work Location: Carlisle, PA. No travel required. Remote work is not available for this position.