Job
- Level
- Junior
- Job Field
- Data, Application
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Karlsruhe
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop machine learning pipelines, optimize big data pipelines, and support cloud-based ML environments while integrating innovative technologies like GenAI and deep learning.
Job Technologies
Your role in the team
- As a working student (m/f/d), you are responsible for the creation, refinement, and management of machine learning pipelines.
- In addition, you develop and optimize big data pipelines for machine learning applications and support the operation of machine learning environments in the cloud.
- As part of conceptual and exploratory analyses, you ensure that data is better understood and can be used effectively to generate value.
- You actively support ongoing client projects in the selection, development, and integration of the latest technologies such as GenAI and deep learning.
- As part of an agile product development team, you work closely with experienced developers (m/f/d/x) from various disciplines.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- Furthermore, you are familiar with machine learning environments such as Databricks or Azure ML.
- Very good German and English skills, both written and spoken, complete your profile, and you are motivated to work regularly on-site in Karlsruhe.
Experience
- You have experience in software development with Python and are familiar with Docker.
- In addition, you have knowledge of machine learning and have already gained some initial experience in a cloud environment (Azure, AWS, or Kubernetes).
- Ideally, you have already gained some initial experience in full-stack development, including frontend work.
This text has been machine translated. Show original
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.
This text has been machine translated. Show original
Benefits
Work-Life-Integration
Food & Drink
Topics that you deal with on the job
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)Engineering
2.8Career Growth
3.4Culture
3.5Workingconditions
4.4
Working Student Machine Learning Engineer
- Location
- Karlsruhe
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
