College Intern - Manufacturing AI Solutions

College Intern - Manufacturing AI Solutions

What a College Intern - Manufacturing AI Solutions Does at HP

Responsibilities

AI & Digital Transformation

• Develop AI-powered applications to improve manufacturing productivity and engineering efficiency.
• Support the development of agentic AI and Large Language Model (LLM) solutions for troubleshooting, knowledge management, and process support.
• Explore prompt engineering, Retrieval-Augmented Generation (RAG), and workflow automation technologies for factory applications.
• Identify opportunities to replace manual engineering activities with intelligent digital solutions.

Data Analytics & Visualization

• Analyze manufacturing, quality, and operational data to identify trends, issues, and improvement opportunities.
• Develop interactive dashboards and reporting tools to support engineering and management decision-making.
• Automate data collection, processing, and reporting using Python and other analytics tools.
• Create meaningful visualizations that simplify complex production information.

Manufacturing Systems & Process Improvement

• Collaborate with engineers and manufacturing partners to understand factory workflows and operational challenges.
• Support continuous improvement initiatives through data-driven analysis.
• Participate in manufacturing process reviews and digital transformation projects.
• Assist in identifying opportunities to improve productivity, quality, and operational effectiveness.

Project Execution

• Manage project milestones, timelines, and deliverables.
• Present project updates, findings, and recommendations to engineering leadership.
• Document technical solutions and develop user guides where applicable.

Examples of Previous Intern Projects

• Agentic AI Knowledge Assistant: Developed a ChatGPT-like engineering assistant that consolidates manufacturing procedures, troubleshooting guides, and technical documents into a conversational knowledge platform, improving knowledge retrieval and operator support.
• Smart Manufacturing Analytics Platform: Built an interactive engineering dashboard that converts large volumes of production data into actionable insights, enabling faster problem-solving and improving decision-making efficiency.

Qualifications

• Currently pursuing a Bachelor’s Degree in Computer Engineering, Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, Information Systems, or a related technical discipline.
• Year 3 undergraduate students preferred.
• Basic programming experience in Python or similar languages.
• Strong analytical and problem-solving skills.
• Ability to work effectively in a collaborative team environment.
• Strong verbal and written communication skills.
• Experience or coursework in one or more of the following areas:
  • Python programming
  • Data analytics and data visualization
  • Machine learning or artificial intelligence
  • Large Language Models (LLMs)
  • Prompt engineering
  • AI agents and agentic workflows
  • Power BI, Tableau, or similar reporting tools
  • SQL and database management
  • API integration and automation
  • Manufacturing systems, Industrial IoT, MES, or factory automation

What You Will Gain

• Hands-on experience implementing AI solutions in a live manufacturing environment.
• Exposure to Industry 4.0, Smart Factory, and Digital Manufacturing initiatives.
• Mentorship from experienced engineering professionals.
• Opportunity to build and deploy solutions used by engineers and factory operations teams.
• Practical experience working with AI, analytics, automation, and manufacturing technologies.
• A portfolio-worthy project demonstrating real-world business impact.

Role Details

• Job: Administration
• Schedule: Full time
• Shift: No shift premium (Singapore)