AI Manufacturing Intern: Data Analytics & Automation

HP; Singapore; On-site; SGD 17,000 - 23,000; Full time

Benefits offered by this job

Mentorship program

Portfolio-worthy projects

Job summary

HP Singapore invites a College Intern – Manufacturing AI Solutions to work on AI and digital transformation projects in a live manufacturing environment.

You will analyze data, develop dashboards, automate data workflows in Python, and contribute to agentic AI and LLM initiatives for production processes. The internship provides hands-on experience and mentorship from engineers shaping Industry 4.0 in manufacturing.

Qualifications

• Pursuing a Bachelor's degree; year 3 preferred.
• Basic Python programming experience.
• Strong analytical and problem-solving skills.
• Ability to work in a collaborative team.
• Exposure to data analytics, visualization, and ML concepts.
• Familiarity with AI/LLMs and prompt engineering is a plus.

Responsibilities

• Develop AI-powered apps to boost manufacturing productivity.
• Build interactive dashboards and reports for engineering and management.
• Automate data collection and reporting with Python.
• Support Agentic AI and LLM solutions for troubleshooting and knowledge management.
• Contribute to digital transformation projects in manufacturing.

Skills

Python programming

Data Analytics

Data Visualization

Machine Learning

LLMs / AI agents

Prompt Engineering

SQL

API integration

Team collaboration

Communication skills

Education

Bachelor's Degree in Computer Engineering, Computer Science, Electrical Engineering, Data Science, AI, Information Systems or related technical discipline

Tools

Power BI

Tableau

Jupyter / notebooks

API tools

Job description

HP Singapore invites a College Intern – Manufacturing AI Solutions to work on AI and digital transformation projects in a live manufacturing environment.

You will analyze data, develop dashboards, automate data workflows in Python, and contribute to agentic AI and LLM initiatives for production processes. The internship provides hands-on experience and mentorship from engineers shaping Industry 4.0 in manufacturing.