InternshipTech & engineering· Posted 16 Sept

Intern, Facilities AI Engineering

MicronFrom company site

Salary

Not stated by the company

When

To be confirmed

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

This internship sits with the Facilities Engineering team at a semiconductor manufacturing site, focusing on artificial intelligence and smart facilities work. You'll work alongside facilities engineers and domain experts on real industrial data and digital transformation projects. It suits students in AI, machine learning, data science or related engineering fields who want hands-on exposure to applying analytics in a fab environment.

What you'll do

Analyse operational and sensor data to spot equipment trends, anomalies and optimisation opportunities
Build AI or machine learning prototypes for predictive maintenance and equipment monitoring
Create dashboards, visualisation tools or automation workflows that support engineering decisions

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Explore AI-enabled knowledge management solutions to improve information access and reuse

Develop AI prototypes or proof-of-concept solutions for selected facilities engineering challenges

Produce data analytics dashboards that give actionable engineering insights

Build predictive models or anomaly-detection solutions for equipment monitoring

Put together a structured knowledge repository or AI-enabled knowledge retrieval solution

Prepare final documentation and a presentation covering findings, recommendations, limitations and business value

Good to know

Full-time internship of 5 months, from January to June 2027
Based at Fab 10N, Singapore
High-performing interns may be considered for future internship or full-time opportunities

Requirements

Basic understanding of AI, machine learning, data analytics or statistical concepts
Programming experience in Python, SQL or similar languages
Familiarity with data visualisation tools such as Power BI or Tableau
Understanding of databases, data processing and software development principles
Curiosity to learn emerging technologies
Pursuing a degree in AI, machine learning, data science, computer science, software engineering, computer engineering, electrical engineering, mechanical engineering, mechatronics engineering or a related field

Benefits

Exposure to real-world industrial datasets and engineering workflows
Learning opportunities in AI, machine learning and smart facilities initiatives
Possible consideration for future internship or full-time roles for strong performers

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Intern, Facilities AI Engineering

About the role

What you'll do

Good to know

Requirements

Benefits

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