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- Work on deep learning for 2D/3D object recognition, segmentation, pose estimation, and human activity recognition.
- Develop and optimize AI models (CNNs, transformers) for sensor data in quality inspection.
- Apply deep learning to human activity recognition across video and other sensor types.
- Calibrate sensors for accurate data collection and preprocess images/sensor data for training.
- Test models on real-world car part datasets and document findings.
- Master's/Ph.D. in Engineering or related field with 5+ years of experience.
- Strong skills in object detection, segmentation (YOLO, Faster R-CNN, Mask2Former).
- Experience with human detection/activity recognition models (I3D, C3D).
- Bonus: Experience with 3D sensor data from head-mounted cameras.
- Solid understanding of data preprocessing, sensor calibration, and deep learning deployment.
- Extra points for patents, publications, or certifications in multimodal processing.
Direct Line: 6697 7866
EA License No: 91C2918
Personnel Registration Number: R2091205
- Work on deep learning for 2D/3D object recognition, segmentation, pose estimation, and human activity recognition.
- Develop and optimize AI models (CNNs, transformers) for sensor data in quality inspection.
- Apply deep learning to human activity recognition across video and other sensor types.
- Calibrate sensors for accurate data collection and preprocess images/sensor data for training.
- Test models on real-world car part datasets and document findings.
- Master's/Ph.D. in Engineering or related field with 5+ years of experience.
- Strong skills in object detection, segmentation (YOLO, Faster R-CNN, Mask2Former).
- Experience with human detection/activity recognition models (I3D, C3D).
- Bonus: Experience with 3D sensor data from head-mounted cameras.
- Solid understanding of data preprocessing, sensor calibration, and deep learning deployment.
- Extra points for patents, publications, or certifications in multimodal processing.
Direct Line: 6697 7866
EA License No: 91C2918
Personnel Registration Number: R2091205