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Infineon

Internship - Machine Learning and Data Analytics

Infineon Singapore

Semiconductor Manufacturing · 10,001+ employees

Yesterday
machine-learning Junior (0-2 yrs) Full-time Internship Temporary Singapore
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About the role

The intern will perform statistical and exploratory data analysis while developing machine learning models for predictive tasks, image classification, and generative AI. They will also support backend data projects and collaborate with stakeholders within a semiconductor production environment.

What they look for

Machine Learning Deep Learning Data Analytics Statistical Analysis Exploratory Data Analysis Predictive Analysis Image Classification Generative AI Python R Backend Development Semiconductor Solutions Data Post-processing Communication Collaboration

Requirements

Candidates must be pursuing a Bachelor's or Master's degree in Engineering, Computer Science, Information Technology, or Data Science. Proficiency in Python or R and a strong motivation to learn new machine learning techniques are preferred.

Full description

The student, as part of the DMR AI DSS team under the guidance of an assigned

mentor, will undertake projects working on Machine Learning/Deep Learning and Data Analytics projects related to backend.

Your roleKey responsibilities in your new role

  • Data Analysis: Perform statistical and exploratory data analysis.
  • Project Involvement: Be involved in other backend data and analytics projects.
  • Model Development: Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks.
  • Technical Growth: Learn and employ new techniques and tools to support ML projects.Internship learning outcomes:
  • Backend Process Understanding: Understand the main steps of Back-end Assembly Packaging process, Back-end Final Test production procedures, and the subsequent data post-processing.
  • Machine Learning Application: Learn the concept and application of machine learning for Back-end Assembly/Final-test.
  • Statistical & AI Methods: Gain knowledge of the concept and application of statistical methods and ML techniques, including Gen AI for back-end use cases.
  • Professional Development: Strengthen collaboration and communication skills by working with stakeholders in a real production environment.

Your profileQualifications and skills to help you succeed

  • Educational Background: On track to attain a Bachelor’s or Master’s degree in Electrical/Electronic Engineering, Computer Engineering/Science, Information Technology, Data Science, or Analytics.
  • Programming & ML Skills: Know-how in machine learning and programming languages preferred: R, Python.
  • Learning Mindset: Motivated to learn and pick up new knowledge/skills.
  • Preferred-Intake: Jan 2027 - May 2027, able to commit a minimum of 5 months.

#WeAreIn for driving decarbonization and digitalization.As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.Are you in?We are on a journey to create the best Infineon for everyone.

We strive to create the best Infineon for everyone by embracing diversity and inclusion. We welcome applicants for who they are and offer a workplace built on trust, openness, respect and equal opportunity.

Our hiring decisions are based on skills and experience. Even if you don’t meet every requirement, we encourage you to apply.

Please let your recruiter know if you need any accommodations during the interview process.

Learn more about our various contact channels and about Diversity & Inclusion at Infineon.

Hillary Woo

https://www.linkedin.com/in/hillary-woo/

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