Tätigkeitsbereich:Forschung & Entwicklung incl. DesignFachabteilung:Software Integration Platform & AutomationGesellschaft:Mercedes-Benz AGStandort:Mercedes-Benz Werk Sindelfingen, SindelfingenStartdatum:..5Veröffentlichungsdatum:..5Stellennummer:MER3LCNArbeitszeit:Teilzeit BewerbenAufgaben
Our department is at the core of MB.OS and is responsible for integrating hardware and software architecture. The continuity and automation of software development processes are ensured by our Software Integration Platform & Automation team. Our CI/CD pipeline organizes the integration process and assembles the final product from individual components, ensuring timely and continuous rollout to the vehicle fleet. For our dashboards, we process data from the development process and visualize the project status for all stakeholders.
Are you committed, coding-savvy, and eager to be part of an innovative team?
Then you are exactly right with us!
As a working student, you will work on exciting tasks related to Data Analytics, Data Visualization, and Data Preprocessing. You will have the opportunity to dive deep into the world of Machine Learning (ML) and explore the application possibilities of ML models and Artificial Intelligence (AI). Training and validating ML models in practice will also be part of your responsibilities. Additionally, you will have the opportunity to contribute to areas such as CI/CD and automation.
These challenges await you:
1. Conducting data preprocessing and data visualization to present complex data in an understandable and appealing manner on our dashboards
2. Analyzing and researching suitable ML models for our use cases
3. Training and validating ML and/or AI models
4. Contributing to the creation of APIs and endpoints for our databases
5. Assisting with automation tasks
Our vision - make it real! - should inspire you, just as it inspires us, to realize the transformation.
Qualifikationen
6. Degree program in Artificial Intelligence, Data Analytics, or a comparable field of study
7. Proficient English skills, both written and spoken
8. Commitment and teamwork skills
9. Analytical thinking and strategic, independent working style
Essential knowledge of pertinent programming languages, tools, and software is required:
10. Python and relevant libraries for Machine Learning and Data Analytics
11. PySpark
12. SQL, PostgreSQL
13. Node.js
14. Git
15. Grafana, Power BI, eazyBI
16. GitLab CI
17. Jira, Confluence
Additional information:
Please find the criteria of employment .
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
BenefitsEssenszulagenMitarbeiterhandy möglichMitarbeiterrabatte möglichMitarbeiterbeteiligung möglichMitarbeiter EventsCoachingFlexible Arbeitszeit möglichHybrides Arbeiten möglichGesundheitsmaßnahmenBetriebliche AltersversorgungMobilitätsangebote
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