↳Master-s degree in Computer Vision, Image Processing, or equivalent. Relevant experience in the specific field.
↳Strong knowledge of image processing and computer vision techniques.
↳Experience with Python and/or C/C++ for algorithm development and optimization.
↳Proficient in AI-powered image processing, object detection, segmentation, OCR, and computer vision using PyTorch, OpenCV, YOLO, and multimodal LLM technologies.Strong understanding of machine learning and artificial intelligence techniques applied to image analysis and pattern recognition.
↳Experience developing, training, validating, and deploying deep learning models for image classification, object detection, segmentation, feature extraction, and anomaly detection.
↳Comfortable using data analysis and visualization tools for algorithm evaluation and reporting.
↳Curious, motivated, and eager to develop deep technical expertise.
↳Strong analytical and problem-solving mindset.
↳Increasingly autonomous, with the ability to manage laboratory tasks with limited supervision.
↳Reliable, structured, and quality-oriented.
↳Team player in a multicultural and interdisciplinary environment.
