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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Robotics & AI Engineer Computer Vision - **Company:** Germans Trias I Pujol Research Institute (igtp) - **Location:** Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computer Vision, C++ (Programming Language), Middleware, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Pytorch, Deep Learning, Information Technology - **Published:** July 18, 2026 - **Apply:** https://www.jobleads.com/es/job/ea164d0ea5c3728a4aa7dcc57743daf08 ## About the Role * Degree in Computer Science, Telecommunications Engineering, Data Science, Artificial Intelligence, Mathematics/Physics with a computational focus, or a related technical field. * Master's degree or specialized training in Artificial Intelligence, Machine Learning, Deep Learning or Computer Vision; or equivalent professional experience. * Strong hands-on experience developing computer vision and deep learning systems for real-world applications (object detection, segmentation, classification, tracking). * Proficiency in Python and practical experience in at least one major deep learning framework (PyTorch or TensorFlow). * Experience with OpenCV and the full model lifecycle-dataset generation, labeling, augmentation, training, evaluation and iterative optimization. * Comfortable operating in multidisciplinary environments, with the ability to work closely with clinical staff. * Fluency in Spanish (mandatory); Catalan valued as an asset. Good level of English for technical documentation and collaboration. * Strong problem-solving skills, autonomy, proactive attitude and genuine ownership of technical decisions. * Availability to commute regularly to the Hospital Universitari Germans Trias i Pujol or to the HealthTech Innovations offices., * Prior exposure to robotic perception systems or integration of AI components into a robotic platform. ## Description * Lead the development of the AI-based surgical instrument recognition system, with direct responsibility for design, training and performance of its computer vision and machine learning components. * Design and develop computer vision pipelines for surgical instrument detection, classification and tracking, covering the full lifecycle from data acquisition and preprocessing to model training, evaluation and deployment. * Write, optimize and maintain production-quality code, ensuring robustness, scalability and reproducibility of AI models. * Train and fine-tune machine learning and deep learning models, selecting appropriate architectures, defining evaluation metrics and implementing strategies to improve accuracy and generalization in real hospital environments. * Generate datasets, define labeling strategies and data augmentation techniques, and iterate on models based on validation results. * Collaborate with the robotics engineering team to support integration of the AI/computer vision modules into the robotic platform, focusing on the perception side of the perception-action loop. * Test and validate the system in the central sterilization unit and operating room, analyze performance, identify limitations and propose technical improvements. * Document algorithms, code and experimental results to support regulatory processes and scientific dissemination. ## Related Videos - [Robots are coming into the wild! 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Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Robots 2.0: When artificial intelligence meets steel](https://www.wearedevelopers.com/videos/1452-robots-2-0-when-artificial-intelligence-meets-steel) - [Exploring BOS: The Blockchain Operating System by NEAR Protocol](https://www.wearedevelopers.com/videos/781-exploring-bos-the-blockchain-operating-system-by-near-protocol) ## Related Articles - [The Biggest German Tech Companies](https://www.wearedevelopers.com/magazine/424-the-biggest-german-tech-companies) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)