As a data science engineer you are responsible for the development and execution of tools that serve the machine learning development (computer vision) in the field of assisted and automated driver assistance systems (ADAS). You develop data mining algorithms and embed them into tools that can handle large amount of measurement data from vehicles; the focus is on computer vision.
Job Responsibilities
Qualification Requirements (Skills /Experience/ Education/Behavior)
1.Master degree in computer science, automotive or electronic engineering
2.5+ years working experience in data engineering, deep learning based model design and deployment; preferably in computer vision.
3.Proficient in python, experienced in data management solutions
4.Proficient in some of these tools (or related solutions): PyData stack, Pandas, tableau/PowerBI or similar, Gephy/Force Atlas 2, Voxel51, MongoDB, MySQL, QT, Kafka.
5.Proficient in Deep Learning frameworks,such as PyTorch, Tensorflow
6.Proficient in popular DL task model, such as semantic segmentation model, image classification model, object detection model and image generation model.
7.Experienced in machine learning algorithms, especially in state-of-the-art deep learning algorithms
8.Experienced in AI-model deployment and compression techniques.
9.Experienced in using cloud computing solutions, know-how in edge-cloud deployment.
10.Experience in international team communication
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