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Working Student Data Science Computer Vision

Job

  • Level
    Junior
  • Job Field
    Data
  • Employment Type
    Part Time
  • Contract Type
    Internship / school internship
  • Location
    Munich
  • Working Model
    Onsite
  • Job Summary

    In this role, you will prepare training datasets through precise labeling, create data for mobile applications using image editing software and computer vision technologies, and optimize existing models and processes through experiments.

    Job Technologies

    Your role in the team

    • At IdentityCheck, we are building the next generation of digital identification solutions. Our goal is to create a fully digital identification process that is user-friendly, secure, and efficient - without media disruptions and with a strong focus on customer experience.
    • As part of our Data Science team, you will work on innovative AI and computer vision solutions that make our digital identification processes smarter and more reliable.
    • Together with colleagues from Product, Engineering, and Data Science, you will develop practical solutions and bring your own ideas directly into production.
    • You prepare training datasets through precise labeling for machine learning training runs.
    • Using image editing software, GenAI, and computer vision technologies, you create datasets for different application scenarios.
    • Machine learning methods and classical image processing techniques are applied and tested in product-oriented use cases.
    • You conduct experiments and evaluate results to optimize existing models and processes.
    • In the development of data-driven solutions, you support the Data Science team in daily operations.

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    Our expectations of you

    Education

    • You are currently enrolled in a degree program in Mathematics, Computer Science or a comparable field.

    Qualifications

    • Solid Python skills support your daily work.
    • A precise and detail-oriented approach to datasets and experiments defines your way of working.
    • You are interested in computer vision and machine learning applications on mobile devices such as Android and iOS.
    • Good English skills (minimum C1 level), German skills are a plus.

    Experience

    • You have already gained initial practical experience with machine learning methods in the field of computer vision.
    • Experience with Photoshop, GIMP, or similar image editing software is beneficial.

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    What we offer

    • A strong start to your professional career - with structured onboarding and a buddy system to support your integration into the team.
    • Flexible working hours - adapt your working schedule to fit around your studies.
    • Shared lunches - enjoy free lunch four times a week together with your colleagues.
    • Health & fitness - benefit from subsidized external sports programs (including EGYM Wellpass) as well as free daily sports courses at the office.
    • Events & team spirit - as a Working Student (m/f/d), you will naturally take part in all company events and celebrate successes together with the team.
    • Excellent accessibility - centrally located office at Donnersbergerbrücke with outstanding public transport connections.

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    Benefits

    Work-Life-Integration

    Health, Fitness & Fun

    Food & Drink

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    Topics that you deal with on the job

    Job Locations

    • Location Munich

      Bayern

      Germany

    This is your employer

    CHECK24 Gruppe

    CHECK24 Gruppe

    CHECK24 is one of Germany's leading online companies and the country's largest comparison portal. And we're growing - with you. If you want to move something, you've come to the right place. Experience the dynamics of e-commerce, agile processes, flat hierarchies and steep development curves.

    Description

  • Company Type
    Established Company
  • Working Model
    Hybrid, Onsite
  • Industry
    Banking, Finance, Insurance, Internet, IT, Telecommunication
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    Logo CHECK24 Gruppe

    Working Student Data Science Computer Vision

    Location
    Munich
    Working Model
    Onsite
    Diversity
    Open for all genders

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