The company is looking to accelerate research and development in construction materials by integrating agentic AI workflows, computer vision, and data science to drive digital transformation.
Requirements
- 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.
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.
Other
- 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.
- Interest in applying AI/ML to industrial and materials science challenges.
- Work Location: Carlisle, PA.
- No travel required.
- Remote work is not available for this position.
