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 ...
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 ...
AI & Data Science Intern
Carlisle, PA · On-site
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 ...
AI & Data Science Intern
Carlisle, PA · On-site
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 ...
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Intern Nba Computer Science information
What is the difference between Intern Nba Computer Science vs Intern Data Analyst?
| Aspect | Intern Nba Computer Science | Intern Data Analyst |
|---|---|---|
| Required Credentials | Computer Science coursework, programming skills | Statistics, data analysis skills, some programming |
| Work Environment | Tech teams, software development, data management | Data teams, reporting, data visualization |
| Employer & Industry Usage | Sports organizations, tech companies, NBA teams | Business, marketing, sports analytics firms |
| Common Search & Comparison | Yes | Yes |
The Intern Nba Computer Science role focuses on software development, programming, and technical projects within the NBA environment, often involving data management and tech solutions. In contrast, the Intern Data Analyst role emphasizes analyzing data, creating reports, and visualizations to support decision-making. Both internships require analytical skills, but the Computer Science position leans more toward coding and technical tasks, while Data Analyst roles focus on interpreting data and insights.
- Phd Science
- Intern High Performance Computing Engineer
- Analytical Chemistry Internships
- Data Engineer Internship
- Remote Computer Science Winter Internship
- Senior Bioinformatics Summer Internship
- Intern Python Data Science
- Internship Microsoft Data Analyst
- Internship Python Data Science
- Intern Computational Physicist
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.
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About Carlisle Fluid Technologies
Sourced by ZipRecruiter
Industry
Machinery manufacturing
Company size
501 - 1,000 Employees
Headquarters location
Scottsdale, AZ, US
Year founded
2015