Job Description

    - 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.


    Requirements

    - 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.


    What we offer

    Public Holiday, Severance Pay


    Benefits

    • Flexible Schedule

    Salary

    The salary range for this position is $under 25.000

    Contact person

    About the Company Loma Technology

    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.


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