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 and
• real-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 the
• ensemble.
• 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 high
• frame rate recognition.
• Research edge computing and model lightweighting techniques (e.g., quantization, pruning) to enhance efficiency on
• embedded or mobile devices.
• Software Integration and System Development
• Participate in software architecture design and integrate vision algorithms into casino management systems or intelligent
• analysis 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 mirror
• reflection tricks.
• Combine behavior recognition technologies to detect abnormal patterns and support
• security 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

Loma Technology is a multifaceted enterprise with interests in real estate, tourism, entertainment, and IT services. We are committed to excellence in every industry we engage in, making us a leading technology company in Cambodia.