You are interested in MLOps and AI infrastructure and want to gain practical experience in our Design Enabling and Services team in a DAX40 company? Then apply and make life easier, safer and greener with us! We are looking forward to your application!
Job Description
- Data is everything: You will implement ML use cases on our AI infrastructure for testing
- Shape the future: You will evaluate and implement the proof-of-concept of AI MLOps tools which includes the area of Generative AI
- Take responsibility: You will evaluate MLOps tools, document your findings and be able to discern the Pros and Cons of what each tool offers. You also will translate these findings into features for our MLOPs platform, and demonstrate them to the team during our knowledge-sharing sessions
- Teamwork is dreamwork: You will support our team and participate in using agile SCRUM techniques
Your Profile
- Study field: You are currently studying Electrical Engineering, Computer Science, Information Technology or similar
- Skills: You are familiar with programming in Python and Docker and Kubernetes, and you are interested in MLOps and AI infrastructure (AI/ML/GenAI)
- Experience: You have experience in end to end ML projects
- Personality: You have good interpersonal skills and ability to work in a diverse team with a diverse skillset
- Way of working: You enjoy working independently as well as in a team
- Language skills: You have good English skills, both written and spoken. German is a plus
Please attach the following documents to your application:
- 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.
Contact:
Mafalda Porto.
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