Vacancy Description
- Master's or Ph.D. degree in Electrical Engineering, Mechanical Engineering, Computer Engineering, Computer Science, or a related discipline, with more than 5 years of relevant industry experience.
- Strong foundation in deep learning techniques, particularly convolutional neural networks (CNNs) and transformers.
- Expertise in deep learning frameworks (e.g., TensorFlow and PyTorch) and 2D/3D computer vision libraries (e.g., OpenCV and PCL).
- Knowledge of data quality requirements for various AI training tasks and data acquisition protocols.
- Strong understanding of robot kinematics, dynamics, and control theories (e.g., PID Control, Model Predictive Control, and Impedance Control).
- Proven experience in developing and deploying custom pick-and-place or pick-and-assemble applications.
- Hands‑on experience with industrial robot arm controllers, sensor integration, and robotic workcell setup.
- Ability to evaluate and sh...
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