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Internship - Wafer Technology: AI Research, Development, and Implementation at Infineon Technologies AG Australia
Samut Prakan, , Thailand -
Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

AI Research, Development, Implementation, MLOps, Automated Data Analytics, KNIME, Python, CV2, Tensorflow, MLflow, GIT, GitHub, GitLab, Data Analysis, Statistical Methods, Problem-Solving Skills, Communication Skills

Industry

Semiconductor Manufacturing

Description
Perform AI Research, development, and implementation (choose one) for: Implement AI with MLOps (Machine Leaning Operation) Perform advanced automated data analytics using KNIME Currently studying 3rd or 4th year in a Bachelor or Masters in Robotics and Computational Intelligence Systems, Computer Science, Computer Engineering, Electrical Engineering or related disciplines Proficiency in programming language in Python with CV2, Tensorflow, MLflow Source code repository e.g. GIT, GitHub, GitLab Basic understanding of data analysis and statistical methods Problem-Solving Skills: Strong analytical and problem-solving abilities. Attention to Detail: High level of accuracy and attention to detail in coding and testing. Communication Skills: Good verbal and written communication skills to document code and interact with team members. Team Player: Ability to work collaboratively in a team environment and take direction from senior engineers. 10 vacancies available We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.

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Responsibilities
Perform AI research, development, and implementation. Implement AI with MLOps and perform advanced automated data analytics using KNIME.