We are looking for a skilled Computer Vision&Robotics; Engineer to design, develop, and deploy advanced vision-based solutions for real-world applications. You will work at the intersection of AI and robotics, building robust systems that operate reliably in production and real-time environments. Key Responsibilities * Design, develop, and deploy computer vision models for real-world applications * Build and optimize deep learning models for tasks such as object detection, segmentation, classification, tracking, and pose estimation * Develop scalable image and video processing pipelines for both training and inference * Deploy and optimize models for real-time and edge environments, ensuring low latency and high efficiency * Integrate vision models into production systems, including automated and semi-autonomous platforms * Collaborate with cross-functional teams (software, hardware, product) to deliver end-to-end solutions * Evaluate model performance using real-world data and continuously improve accuracy, robustness,



and efficiency * Stay up to date with the latest advancements in computer vision, deep learning, and applied AI Required Qualifications * Bachelor’s degree in Computer Science, Artificial Intelligence, or a related field * 2+ years of hands-on experience in computer vision and deep learning * Strong programming skills in Python * Experience with deep learning frameworks such as PyTorch or TensorFlow * Solid understanding of core computer vision concepts (image processing, CNNs, feature extraction, object detection) * Experience training and deploying machine learning models in production environments * Familiarity with model optimization techniques (e.g., quantization, pruning, ONNX) * Experience working with image/video datasets and data pipelines * Strong analytical and problem-solving skills Preferred Qualifications * Master’s degree in Computer Vision, Machine Learning, or a related field * Experience with real-world or industrial AI applications

📌 Computer Vision Engineer (Italia)
🏢 Hermes Corporate
📍 Italia