Robotics & AI Engineer Computer Vision

• 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.

• 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.

• Indefinite contract under science law linked to Project CPP2024-011704, fully funded by MICIU/AEI/FEDER and the EU.
• Immediate incorporation into a highly innovative applied research and development project with direct impact on real clinical environments.
• Full-time position with a 39-hour work week and flexible working schedule.
• Hybrid model allowing partial remote work with regular on-site collaboration sessions.
• 23 days of paid annual leave, plus 5 additional days for personal matters, 2 days for Easter and 2 days for Christmas.

full_time

Organization Tamarind Intelligence