College Intern - Manufacturing AI Solutions

College Intern - Manufacturing AI Solutions Description - What a College Intern - Manufacturing AI Solutions does at HP: 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 Our interns are given ownership of projects that create real business value. Agentic AI Knowledge Assistant: Developed a ChatGPT-like engineering assistant that consolidates manufacturing procedures, troubleshooting guides, and technical documents into a conversational knowledge platform, significantly 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. Individuals who do well in this role at HP, usually possess: 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. Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone,