Working Student: Machine Learning Engineering
vor 4 Wochen
**Focus on the future**: You dive into the heart of our semiconductor production processes, contributing your skills to propel our Machine Learning projects
- **Exploring Novel Software Solutions**: You will uncover the latest trends in Data Science and ML Engineering. Your knack for research and evaluation will guide us in adopting cutting-edge software solutions, pushing the boundaries of innovation
- **Crafting AI Newsletter**: You organize and compile content for our AI newsletter, keeping the team and stakeholders informed about the latest developments and breakthroughs
- **Optimizing Project Workflows**: You steamline our operations by creating and enhancing project workflows on platforms like Jira, Confluence and ML-Flow
- **Improving Productivity**: You utilize your conceptualization and implementation prowess to design, develop and enhance reporting and analytics workflows with tools like Tableau and KNIME
- **Study field**: You are currently studying Computer Science, Business Informatics, Data Science or similar
- **Skills**: You possess programming skills in Python and first experiences in business analytics, enabling you to tackle various technical tasks and projects
- **Personality**: You thrive in team environments, actively contributing your insights and expertise to collective efforts
- **Interests**: You have the ability to learn independently, which is the basis for your continuous growth and adaptability in a dynamic work environment
- **Language skills**: You have fluent English skills, German is a plus
- CV in English
- Certificate of enrollment at university
- Latest grades transcript (not older than 6 months)
- High school report
Important Information:
- **Working part-time**: The focus is on studies. Therefore, working student is possible during the lecture period with a maximum of 20 hours per week.
- **Proper students (according to the German law) are welcome**: You must be enrolled and the examination results or modules of your studies must not have been completed yet, so that you can still work in our team for at least 6 months. You must also not be in a semester of leave.
- **You should live close to the site**: It is important for us to work with you on site and to integrate you into the team. You should therefore be able to come to the site regularly.
This is the world’s first high-volume production site for power semiconductors on 300 mm wafers.
**Further links**:
- Find out what we are looking for in your CV
- Discover our student website
**Driving decarbonization and digitalization. Together.**
**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.
We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
Click here for more information about Diversity & Inclusion at Infineon.
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