Internship - Machine Learning and Data Analytics
- Compensation
- Not disclosed
- Location
- Singapore
- Work setup
- Onsite
- Seniority
- Intern
- Employment
- Internship
- Experience
- Not specified
- Category
- Data analytics
- Posted
Skills
Must have
- 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.
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 role
Key responsibilities in your new role
-
Data Analysis: Perform statistical and exploratory data analysis.
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Project Involvement: Be involved in other backend data and analytics projects.
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Model Development: Build data analysis and machine learning models for predictive analysis, image classification, Gen AI, and other tasks.
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Technical Growth: Learn and employ new techniques and tools to support ML projects.Internship learning outcomes:
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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.
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Machine Learning Application: Learn the concept and application of machine learning for Back-end Assembly/Final-test.
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Statistical & AI Methods: Gain knowledge of the concept and application of statistical methods and ML techniques, including Gen AI for back-end use cases.
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Professional Development: Strengthen collaboration and communication skills by working with stakeholders in a real production environment.
Your profile
Qualifications 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 5months.
#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?