استخدام Computer Vision Enginner(remote)

‎‪We are looking for a Computer Vision Engineer who will take full ownership of our object detection pipeline — covering data collection, preprocessing, training, evaluation, and deployment. The ideal candidate has strong knowledge of CNN architectures, YOLO models, and experience automating ML workflows.

‎‪• Lead the full lifecycle of object detection model development (data gathering → preprocessing → training → evaluation → deployment)
 ‎‪• Build and maintain scalable datasets for object detection tasks
 ‎‪• Develop, train, and optimize CNN and YOLO-based models for accuracy and performance
 ‎‪• Automate the model training pipeline to retrain models as new data arrives
 ‎‪• Deploy models to production with a focus on robustness, speed, and monitoring
 ‎‪• Perform ongoing model evaluation, error analysis, and improvements
 ‎‪• Collaborate with engineering teams to integrate models into real-world systems

‎‪• Strong understanding of computer vision, image processing, and deep learning
 ‎‪• Experience with CNN architectures and YOLO (v8/v9/v11 or similar)
 ‎‪• Hands-on experience in training, fine-tuning, and optimizing object detection models
 ‎‪• Experience building automated ML pipelines (Python, Bash, scheduling, CI/CD)
 ‎‪• Proficiency with PyTorch or TensorFlow
 ‎‪• Familiarity with data lifecycle management (annotation, augmentation, versioning)
 ‎‪• Ability to deploy models using Docker, REST APIs, or edge devices
 ‎‪• Strong problem-solving skills and ownership mentality

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