Working Student: Mlops Tools and Solutions

vor 5 Monaten

Munich, Deutschland Infineon Technologies Vollzeit

**Identify needs**: You test the latest state of our platform with emphasis on the infrastructure-side of the platform
- **Thorough planning**: You will be exploring and implement Chip Development Data Proof of Concepts (POCs) specific to Infineon use-cases into LAILA MLOps Platform
- **Stakeholder **experience**: You make sure that the platform lends itself well in terms of providing sufficient infrastructure and good user-experience into developing end-to-end ML pipeline
- **Study field**: You are currently studying Electrical Engineering, Computer Science, Information Technology or similar field of study
- **Skills**: You are familiar with programming in Python and some experience or conceptual understanding of Docker. You have strong statistical and data analytics background
- **Experience**: You already had your first experience in developing end-to-end ML projects (From data strategy formulation, AIML strategy conceptualization, and into model training). Good understanding of statistical concepts. Good grasp of advantages and disadvantages of certain statistical/ML strategies
- **Interests**: You are interested in Data Characterization/Analytics, MLOps, and AI/ML modeling. You are willing to collaborate with domain experts in understanding key pain points and learning about the domain given a dataset which you can use in developing impactful solutions. You are highly motivated, eager to learn, and have a strong drive for success
- **Way of working**: You enjoy working independently as well as in a team
- **Language skills**: You have excellent English skills, both written and spoken, 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.

In our headquarters in Neubiberg near Munich, more than 6000 employees are working in research & development, several central functions, IT and many more.

Find out what we are looking for in your CV

Discover our student website

**Driving decarbonization and digitalization. Together.**

The central R&D organization
**„Design Enabling and Services“ (DES) **provides the design environments (design-systems) to the different product development teams at Infineon. With leading edge design methods, complex building blocks and a wide range of product development services DES enables Infineon's advanced IC development. This means the complete value creation chain from abstract system models down to the fully verified product layout which ensures high quality manufacturing readiness.

**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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