Jobbeschreibung
Life is always about becoming… Becoming means going on a journey to be the best version of our future selves. While we discover new things, we will face challenges, master them and grow beyond our individual limits.Apply for a job at Mercedes-Benz and find your individual role and workspace to unleash your talents to the fullest. Empowered by visionary colleagues who share the same pioneering spirit. Joining us means becoming part of a global team that aims to build the most desirable cars in the world. Together for excellence.
Job-ID: MER0003LCN
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:
- Conducting data preprocessing and data visualization to present complex data in an understandable and appealing manner on our dashboards
- Analyzing and researching suitable ML models for our use cases
- Training and validating ML and/or AI models
- Contributing to the creation of APIs and endpoints for our databases
- Assisting with automation tasks
Our vision - make it real! - should inspire you, just as it inspires us, to realize the transformation.
- Degree program in Artificial Intelligence, Data Analytics, or a comparable field of study
- Proficient English skills, both written and spoken
- Commitment and teamwork skills
- Analytical thinking and strategic, independent working style
Essential knowledge of pertinent programming languages, tools, and software is required:
- Python and relevant libraries for Machine Learning and Data Analytics
- PySpark
- SQL, PostgreSQL
- Node.js
- Git
- Grafana, Power BI, eazyBI
- GitLab CI
- Jira, Confluence
Additional information:
It doesn't work completely without formalities. When sending your online application, please attach your CV, certificate of enrollment, current performance record, relevant certificates, if applicable proof of mandatory internship and the standard period of study (max. 5 MB) and mark your application documents as "relevant for this application" in the online form.
Please find the criteria of employment "here".
Citizens of countries outside the European Trade Union please send, if applicable, your residence / work permit.
We particularly welcome online applications from candidates with disabilities or similar impairments in direct response to this job advertisement. If you have any questions, you can contact the local disability officer once you have submitted your application form, who will gladly assist you in the onward application process: SBV-Sindelfingen@mercedes-benz.com
Please understand that we no longer accept paper applications and that there is no right to get your documents returned.
If you have any questions regarding the application process, please contact HR Services by e-mail at myhrservice@mercedes-benz.com or by phone: 0711/17-99000 (Monday to Friday between 10 a.m. to 12 a.m. and 1 p.m. to 3 p.m.).
- Meal-Discounts
- Mobile Phone for Employees Possible
- Discounts for Employees Possible
- Annual Profit Share Possible
- Events for Employees
- Coaching
- Flextime Possible
- Hybrid Work Possible
- Health Benefits
- Company Retirement
- Mobility Offers