Descripción de la oferta
Company Background
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.
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.
Be part of a small, agile, and product-oriented R&D team focused on computer vision solutions deployed in production.
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.
Engineering 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.
Experience developing and running applications in Linux environments.
Ability to work with existing code-bases and contribute to production-ready systems.
Fluent Catalan and/or Spanish, with English at B2 level or higher.
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.
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.
Office location in Reus.
