Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time/Full Time
- Contract Type
- Internship / school internship
- Location
- Stuttgart, Berlin, Karlsruhe, Ulm
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop innovative AI solutions for vehicle validation, design and optimize data pipelines, and analyze complex datasets to support machine learning models.
Job Technologies
Your role in the team
- As a working student (m/f/d), you will actively contribute to the development and implementation of innovative AI solutions for vehicle validation.
- Your responsibilities include the conceptual design and development of prototypes as well as minimum viable products (MVPs).
- In addition, you will support the team in data engineering by designing, further developing, and optimizing data pipelines for vehicle and sensor data.
- Another key aspect of your role is the analysis of complex datasets, where you identify patterns and derive relevant features for models.
- Furthermore, you will be involved in the development, training, and evaluation of machine learning and deep learning models, for example in the context of predictive maintenance or anomaly detection.
- In addition, you will monitor current trends in the field of AI and contribute new ideas and impulses to the team.
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Our expectations of you
Education
- You are currently enrolled in a degree program in computer science, data science, engineering, mathematics, physics, or a comparable field.
Qualifications
- Ready to get started? If you impress us with proven excellent German and English skills and submit your complete application documents (cover letter, CV, transcript of records, certificate of enrollment, and, if applicable, residence permit/work authorization), you are just one click away from your opportunity.
- In addition, you have solid knowledge of Python, particularly in working with libraries such as Pandas, NumPy, scikit-learn, and ideally TensorFlow or PyTorch.
- You stand out through strong analytical thinking as well as a structured and independent way of working, and you enjoy collaborating in a team.
- You also have a strong interest in the automotive industry, modern technologies, and artificial intelligence.
- Ideally, you complement your profile with knowledge of cloud platforms such as AWS, Azure, or GCP, as well as very good written and spoken German and English skills.
Experience
- Initial hands-on experience in data engineering (e.g., with data pipelines, SQL, or Databricks) and/or in data science, especially machine learning or deep learning, is an advantage.
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What we offer
- To ensure that there is still enough free time in addition to studying and working, you will receive a pro-rata 30 vacation days with us as well as the opportunity to plan your working hours flexibly.
- In coordination with your team and your contact person, you also have the opportunity to work remotely.
- In addition, almost all of our positions are suitable for part-time work.
- You accompany innovative projects at the cutting edge and take on responsible tasks, so you are a full-fledged member of our team right from the start.
- Of course, you benefit from an attractive salary.
- At Mercedes-Benz Tech Innovation, we are a team! Our cooperation is based on mutual trust and respect.
- Flat hierarchies, an appreciative atmosphere, openness and open-mindedness are part of our daily work.
- In order for your start with us to succeed, you will receive an individual onboarding and a direct contact person.
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Benefits
Work-Life-Integration
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Job Locations
This is your employer
Mercedes-Benz Tech Innovation GmbH
Berlin
We started out in 1998 as a small but ambitious development team. Today, we are a successful IT company and a reliable strategic business partner of Daimler AG. We help our customers overcome the challenges of the future by offering them tailored comprehensive solutions. Our continuous growth has allowed us to become a company that is sympathetic to its employees and provides them with ample opportunity for individual development.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.5
Engineering
2.8Career Growth
3.4Culture
3.5Workingconditions
4.4
Working student Data Engineering & Data Science
- Location
- Stuttgart, Berlin, Karlsruhe, Ulm
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
