AI/ML Machine learning engineer ADAS algorithms

ng and data science
• Software engineering experience, ability to work from scratch as well as on existing big code basis
• Professional experience in at least one of following fields:
o Deep neural networks and other state of the art ML techniques for detection, segmentation fusion and other applications
o Active, reinforcement learning, imitation learning
o Time series prediction with modern ML techniques
o NLP, genAI, chat AI models
o Model, rule and learning based decision making
o ML techniques CNN, RNN, transformers, graph CNN
• Systematic, goal and outcome oriented working style
• Professional experience (2 years +) in AI development frameworks Tensorflow and/or Pytorch
• Professional Skills in Python, (C++)

Bonus
• Understanding of edge processing / Embedded AI and related methods like RUST is a plus
• Proven track record of publications in relevant conferences (CVPR, NIPS, ICCV, ICRA, Fusion, and others...) and scientific background on relevant topics
• Understanding of autonomy levels and features in ADAS and parking applications

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