Descripción de la oferta
Company BackgroundAumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.Quercus 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.At 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 R&D team and work closely with a small group of machine learning and computer vision engineers focused on continuously improving our core technologies.In 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.Role SpecsWhat will you do?Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production.Continuously improve existing computer vision and deep learning models through experimentation, evaluation, and iteration.Analyze model performance using real-world data, identify failure cases and propose improvements.Implement, train, and optimize machine learning and computer vision models, mainly using Python-based workflows.Contribute to the integration of models into production pipelines.Monitor and operate machine learning models in production environments.Share insights and technical findings with the rest of the computer vision team.What profile are we looking for?MandatoryEngineering degree (preferably in Computer Science) or equivalent practical experience in computer vision or machine learning.Strong experience developing software in Python for machine learning and computer vision workflows.Solid understanding of software engineering fundamentals.Practical experience working with machine learning models.Experience developing and running applications in Linux environments.Ability to work with existing code-bases and contribute to production-ready systems.Good communication and collaboration skills.Fluent Catalan and/or Spanish, with English at B2 level or higher.Valuable (Nice to have)Experience with computer vision libraries such as OpenCV.Experience with deep learning frameworks (PyTorch, TensorFlow, Keras).Familiarity with model deployment and inference pipelines.C++ knowledge and experience integrating ML models into production systems.Experience with parallel or high-performance computing.Familiarity with Git, Docker and VSCode.Experience handling real-world datasets.What skills do we value?Curiosity and continuous learning mindset in computer vision and machine learning.Collaborative and team-oriented attitude.Strong analytical and problem-solving skills.Proactive attitude and sense of ownership.Clear and effective technical communication skills.What can we offer you?Work closely with experienced machine learning and computer vision engineers.Flexible working hours, including short Fridays.Partial remote work.Access to training and professional development programs.A salary package aligned with experience, including additional benefits. xsgfvud Office location in Reus.
