مهندس خوارزميات (الرؤية الحاسوبية)

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Responsibilities

• Develop and optimize computer vision algorithms, including object detection, image classification, and segmentation.
• Build and improve image/video datasets, including data cleaning, augmentation, annotation guidelines, and hard-case mining.
• Optimize models for different platforms through model compression, pruning, quantization, and inference acceleration using tools such as TensorRT, ONNX, and OpenVINO.
• Work with engineering teams to deploy CV models into production and address real-world and long-tail challenges.
• Keep up with the latest CV technologies and explore the application of Transformers and Vision Foundation Models.

Requirements

• Bachelor's degree or above in Computer Science, Software Engineering, Electronic Engineering, Automation, Mathematics, or a related field.
• Strong programming skills in Python and good knowledge of C/C++.
• Proficiency in at least one deep learning framework, preferably PyTorch; TensorFlow or JAX is also acceptable.
• Familiar with OpenCV, PIL, NumPy, and related tools.
• Solid understanding of CNNs and Transformers, such as ResNet, MobileNet, and ViT.
• Familiar with mainstream detection and segmentation models such as YOLO, RetinaNet, and Segment Anything (SAM).
• Strong analytical and problem-solving skills, with the ability to independently develop algorithm solutions for real-world business needs.