Computer Vision Engineer (Object Detection & Model Deployment)
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.
Responsibilities
• 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
Requirements
• Strong understanding of computer vision, image processing, and deep learning • Experience with CNN architectures and YOLO (v8/v9/v۱۱ 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
شرکت دانش بنیان پیشرو ابتکار و دانش، از واحدهای فناور مرکز رشد دانشگاه صنعتی شریف، پس از فعالیت در داخل کشور، در حال صادرات تجهیزات و محصولات خود در زمینه فناوری اطلاعات (iot) در صنعت ریلی به اتحادیه اروپا می باشد.