Computer Vision Engineer at Loma Technology in Phnom Penh, Cambodia (full-time)

- Image Recognition and Processing • Research and develop object recognition algorithms based on computer vision, ensuring high-precision identification andreal-time processing capabilities. • Handle complex scenarios such as varying lighting conditions, angles, and occlusions to optimize recognition stability. - Deep Learning Model Training and Optimization • Design, train, and optimize deep learning models to improve recognition accuracy. • Utilize large-scale datasets for annotation, data augmentation, transfer learning, and model compression. • Model compression is a technique that condenses knowledge from multiple models into a single neural network. This involves first training a high-performance ensemble model, then training a smaller model on pseudo-data labeled by theensemble. - Object Detection and Tracking • Implement precise detection and tracking using object detection algorithms such as YOLO, Faster R-CNN, and DETR. • Integrate Multi-Object Tracking (MOT) algorithms to ensure accurate tracking of object movement and changes. - Real Time Image Processing and Optimization • Use tools such as OpenCV, CUDA, and TensorRT to optimize image processing speed, achieving low latency and highframe rate recognition.• Research edge computing and model lightweighting techniques (e.g., quantization, pruning) to enhance efficiency onembedded or mobile devices.- Software Integration and System Development• Participate in software architecture design and integrate vision algorithms into casino management systems or intelligentanalysis platforms.• Collaborate with the hardware team to optimize camera acquisition solutions and improve image quality.- Anomaly Detection and Anti-Cheating Measures• Develop image anomaly detection algorithms to prevent cheating methods, such as invisible ink markings and mirrorreflection tricks.• Combine behavior recognition technologies to detect abnormal patterns and supportsecurity management.

- Computer Vision and Deep Learning Fundamentals • Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Pattern Recognition, Automation, or related fields(Master’s degree preferred). • Proficiency in image processing, object detection, and OCR (Optical Character Recognition) technologies - Algorithm Development Skills • Expertise in OpenCV, TensorFlow, PyTorch, and other deep learning frameworks. • Strong understanding of state-of-the-art vision algorithms, including CNN, Transformer, YOLO, and Swin Transformer.

Public Holiday, Severance Pay

The salary range for this position is $under 25.000

Makara
HR
+855968231949
chabmakara@lomatechnology.com
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