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    Machine Learning Software Engineer (TensorFlow) at bitstars GmbH - a HoloBuilder company (Aachen, Germany)
    bitstars GmbH - a HoloBuilder company Employer
    Aachen, Germany
    Job Type
    Job Location
    Full Time
    Aachen, Germany

    Job Description:

    Our product and mission


    Our core product, HoloBuilder.com, is a web based editor allowing users to create digital twins of (construction) projects. Users can import their 2D floor plans or 3D BIM models and document the current project status using 360° pictures. Additionally, we are offering our customers automatic image analysis via deep learning, embedding task management systems, 3D measuring in 360° pictures, virtual site inspections and more.


    Your role in our team



    • Designing, implementing and training machine learning models for the analysis of HoloBuilder data

    • Collaboration with the product-, design and backend-teams, for developing new features

    • Supporting the team in the creation of datasets used for training of machine learning models

    • Communication with our support and test team, to identify bugs or impediments

    • Independent evaluation and familiarization with new technologies 


    What you need to bring



    • Good knowledge in Python, Machine Learning/Deep Learning approaches

    • Bachelor/Master in Computer Science or similar qualification. An official degree isn’t required - what counts are your skills 

    • No fear of communication and facing new challenges

    • A strong interest in professional software development and openness for new ideas

    • Bonus points:


      • Personal experience with TensorFlow, Keras or PyTorch

      • Experience with OpenCV, SciKit and Numpy in Python

      • Knowledge in TypeScript/Javascript and React.js


    Benefits:

    Certificate
    Flexible Hours
    Letter of Recommendation
    Note : This project is an external project, and it was posted on the platform by the Gradbee Team. We curate all the internships available across the internet by visiting company websites, and social networks like Facebook, LinkedIn, WhatsApp, Twitter etc. If you are the owner of this internship / project and need to get it removed, kindly mail us at [email protected]