Deep Learning Engineer 2
5 months ago
**Aufgaben**:
Key Job Responsibilities
- Conduct experiments for optimizing the runtime & performance of DL algorithms.
- Define requirements for data collection and labeling related activities for algorithm development.
- Collaborate with a global team and contribute/implement ideas for the performance improvement of existing algorithms.
Key Skills
- Sound knowledge of basic concepts for ML/DL and Computer Vision.
- Experience in developing Convolutional Neural Network (CNN) based algorithms for object detection in 2D and 3D/ pose estimation / head or body orientation / semantic segmentation and classification
- Experience in working with state of the art CNN architectures like Googlenet, Resnet, Mask RCNN etc.
- Experience in working with One shot detectors like YOLO variants
- Experience in training and hyper-parameter tuning
- Good programming skill (Python and/or C++)
- Experience with GPU-accelerated libraries (e.g. TensorFlow, PyTorch)
Good to have
- Experience in Automotive domain
- Experience in working on deep learning projects focused on gesture recognition, temporal predictions
- Experience in conversion of the deep learning algorithms to hardware (GPU/FPGA) compatible runtime models
- Experience in camera calibration
- Experience in using configuration management tools like Git and Atlassian tool chains like JIRA, Confluence etc.
- Experience in working with Vision Transformers
**Qualifikationen**:
Basic Qualification
- Bachelor's degree in Electronics and Communication/Electrical and Electronics/Computer Science
- 2 to 4 years of experience with Computer vision, DL/ML
To be filled by HM
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