PbCompany Background /b /ppQuercus Technologies is a well-established company in the parking and mobility sector, with installations deployed worldwide. We are a global reference in license plate recognition, vehicle detection, and parking guidance systems. /ppbr/ppAt Quercus, we develop robust, computer-vision-based systems that operate in real production environments. We are looking for a Computer Vision / Machine Learning Engineer to join our RD team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies. /ppbr/ppIn this role, you will actively contribute to the implementation, optimization, and continuous improvement of deep learning models used in our products. Your work will focus primarily on license plate recognition, vehicle detection, and parking occupancy, helping to improve accuracy, robustness, and performance under real-world conditions. /ppbr/ppbRole Specs /b /ppbWhat will you do? /b /pulliBe part of a small, agile, and product-oriented RD team focused on computer vision solutions deployed in production. /liliContinuously improve existing computer vision and deep learning models through experimentation, evaluation, and iteration. /liliAnalyze model performance using real-world data, identify failure cases and propose improvements. /liliImplement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows. /liliContribute to the integration of models into production pipelines. /liliMonitor and operate machine learning models in production environments. /liliShare insights and technical findings with the rest of the computer vision team. /li /ulpbr/ppbWhat profile are we looking for? /b /ppbMandatory /b /pulliEngineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning. /lili Strong experience developing software in Python for machine learning and computer vision workflows. /liliSolid understanding of software engineering fundamentals. /liliPractical experience working with machine learning models. /liliExperience developing and running applications in Linux environments. /liliAbility to work with existing code-bases and contribute to production-ready systems. /liliGood communication and collaboration skills. /liliFluent Catalan and/or Spanish, with English at B2 level or higher. /li /ulpbr/ppbValuable (Nice to have) /b /pulliExperience with computer vision libraries such as OpenCV. /liliExperience with deep learning frameworks (PyTorch, TensorFlow, Keras). /liliFamiliarity with model deployment and inference pipelines. /liliC++ knowledge and experience integrating ML models into production systems. /liliExperience with parallel or high-performance computing. /liliFamiliarity with Git, Docker and VSCode. /liliExperience handling real-world datasets. /li /ulpbr/ppbWhat skills do we value? /b /pulliCuriosity and continuous learning mindset in computer vision and machine learning. /liliCollaborative and team-oriented attitude. /liliStrong analytical and problem-solving skills. /liliProactive attitude and sense of ownership. /liliClear and effective technical communication skills. /li /ulpbr/ppbWhat can we offer you? /b /pulliWork closely with experienced machine learning and computer vision engineers. /liliFlexible working hours, including short Fridays. /liliPartial remote work. /liliAccess to training and professional development programs. /liliA salary package aligned with experience, including additional benefits. /liliOffice location in Reus. /li /ul