Operations AI Intern

PhytogenX, Inc.; Morgantown (PA); On-site; USD 20,664 - 34,440; Full time

Job summary

A technology firm in the AI sector is seeking a motivated AI Intern to support artificial intelligence and automation projects in manufacturing. The role is perfect for students or early-career technologists wanting real-world experience. Responsibilities include designing AI solutions, analyzing data, and collaborating with cross-functional teams. Ideal candidates are pursuing degrees in relevant fields and have foundational knowledge of AI and data analysis. This internship offers valuable hands-on experience and mentorship from industry leaders.

Qualifications

• Foundational knowledge of machine learning concepts and data analysis.
• Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.
• Interest in manufacturing, process optimization, or industrial automation.

Responsibilities

• Assist in designing, testing, and deploying AI-powered solutions.
• Collect, clean, and analyze operational datasets.
• Build lightweight prototypes like predictive models or workflow automations.
• Support development of dashboards and reports for plant metrics.
• Collaborate with teams to document requirements and findings.
• Research new AI tools and best practices for manufacturing.
• Maintain documentation of models, workflows, and results.

Skills

Machine learning concepts

Data analysis

Python

SQL

AI frameworks

Computer vision tools

Visualization software

Automation platforms

Education

Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering

Job description

We are seeking a motivated AI Intern to support focused artificial intelligence and automation projects across our manufacturing operations. This role is ideal for a student or early‑career technologist who wants real‑world experience applying modern AI tools to solve practical production, quality, and workflow challenges. You will work closely with engineering, operations, and quality teams to prototype AI solutions, analyze data, and help streamline processes. This is a hands‑on role with exposure to a wide variety of manufacturing systems and continuous improvement initiatives.

Key Responsibilities

• Assist in designing, testing, and deploying AI‑powered solutions that support production, quality, and efficiency goals.
• Collect, clean, and analyze operational datasets from manufacturing systems (e.g., production logs, quality data, equipment metrics).
• Build lightweight prototypes such as predictive models, computer vision tools, or workflow automations.
• Support development of dashboards, reports, and visualizations for plant metrics and AI outputs.
• Collaborate with cross‑functional teams to document requirements, findings, and implementation steps.
• Research new AI tools, frameworks, and best practices applicable to manufacturing environments.
• Maintain clear documentation of models, workflows, and results.

Preferred Qualifications

• Currently pursuing a degree in Computer Science, Data Science, Engineering, AI/ML, Industrial Engineering, or related field.
• Foundational knowledge of machine learning concepts and data analysis.
• Experience with Python, SQL, AI frameworks, computer vision tools, visualization software, or automation platforms is a plus.
• Interest in manufacturing, process optimization, or industrial automation.

Soft Skills

• Strong problem‑solving mindset and curiosity.
• Willingness to learn new tools quickly.
• Ability to communicate findings to both technical and non‑technical teams.
• Detail‑oriented, organized, and able to work independently with guidance.

What You’ll Gain

• Hands‑on experience applying AI to real operational challenges.
• Exposure to modern manufacturing processes and industrial systems.
• Mentorship from engineers and leaders supporting innovation initiatives.
• Opportunity to contribute directly to efficiency, quality, and capability improvements.