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    Internship Machine Learning @ Vehicle Data - Stuttgart, Deutschland - Mercedes-Benz

    Mercedes-Benz
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    PraktikumSHIP
    Beschreibung
    Tätigkeitsbereich:IT / TelekommunikationFachabteilung:Vehicle Data & ProductsGesellschaft:Mercedes-Benz Mobility AGStandort:Mercedes-Benz Mobility AG, StuttgartStartdatum:..4Veröffentlichungsdatum:..4Stellennummer:MERF0Arbeitszeit:Vollzeit Join usAufgaben

    Mercedes Benz Mobility AG (MBM) supports the sales of Mercedes-Benz Groups automobile brands with tailor-made financial services. The products range from leasing, retail financing and dealer financing to commercial fleet management, insurance solutions, banking services and innovative mobility services. MBM operates in more than countries. With more than employees, the company services a contract volume of about billion Euros.

    Our team is developing applications and solutions using vehicle data to make processes more efficient and bring modern use cases to life. We work with software solutions based on microservices and containerization being web and mobile applications – hosted Off-Prem (Azure) and On-Prem. We use a variety of open source solutions like Kubernetes and Docker supported by our advanced continuous integration/continuous delivery pipeline consisting of GitHub Actions, SonarQube, BlackDuck, JIRA, Confluence etc. We work in DevOps style in small product teams – whoever build the application is also responsible for maintaining it.

    We are looking for an intern who will – amongst other tasks – especially support us in improving our image recognition AI.

    Your tasks will be:

  • Implementing a new version of our image recognition AI for vehicles
  • Improving our optical character recognition service for reading VIN stickers
  • Actively maintaining and improving our Ray-Serve-based machine learning deployment
  • Analyze requirements together with stakeholders
  • Coordinate and supervise the creation of training images and annotation
  • Work with the team to find new business use cases for image recognition
  • Ensure data quality and optimize the model performance
  • Prepare the service deployment with integration tests
  • Create an excellent internal documentation
  • Prepare presentations and briefings for internal panels
  • As an intern, you contribute like any other team member, so you can learn and grow but always get room for your studies
  • Qualifikationen

    We are seeking applicants who are currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a closely related field, ideally term 5 and above.

    What you'll bring to the role:

  • Current enrollment at a German university
  • Very good communication skills and proficiency in English.
  • Expertise in Python and object oriented software development
  • Experience in machine learning and image recognition technologies
  • Interest in agile software development methods, rapid prototyping, DevOps
  • Knowledge of modern software development patterns such as microservices / API management
  • Knowledge of frameworks like OpenCV, Tensorflow, PyTorch are of advantage
  • Ability to both work independently as well as collaboratively
  • Eagerness to learn and ability to adapt to new situations quickly
  • Communication skills and intercultural competency
  • You don't fulfil all of these requirements? - Don't worry We are looking for people that are eager to learn and develop themselves.

    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.

    BenefitsMit­arbeiter­rabatte möglichEssens­zulagenBetrieb­liche Alters­ver­sorgungMit­arbeiter­beteili­gung möglichHybrides Arbeiten möglichMit­arbeiter­handy möglichGesund­heits­maß­nahmenFlexible Arbeits­zeit möglichMit­arbeiter EventsMobilitäts­angeboteLebens­langes LernenBetriebs­arztKantine, CaféBarriere­frei­heitGute An­bindungPark­platz

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