Computer Vision

At Davantis Technologies , we are building the future of video analytics and AI to help organizations protect critical infrastructures and perimeters worldwide. Our solutions are deployed in real, demanding environments, where robustness, performance, and reliability truly matter. Por favor, asegúrese de leer completamente el resumen y los requisitos de esta oportunidad de empleo que se detallan a continuación. After years leading the AI-based perimeter security space , we are now expanding into new sectors and challenges (Industrial & Workplace Safety, Transportation, and Retail) , exploring advanced object detection, behavior understanding, and multimodal AI systems. We are, looking for Computer Vision & AI Engineer to join our growing R&D team in Bellaterra. Engineers who want to push the boundaries of applied AI, working hands-on with real products and real customers, and making a tangible impact. You will work on advanced video analytics solutions for safety- and mission-critical environments, tackling open-ended, real-world problems. You will be involved in the full lifecycle of video understanding challenges — from defining the AI approach, to training, evaluating, and deploying models that operate reliably on multi-camera video streams. What You Will Do: Work with state-of-the-art architectures, including transformers and vision-language models, to tackle new challenges. Design, train, and evaluate deep learning models for image and video analysis. Improve and extend our AI capabilities to new object types, behaviors, and application domains. Integrate trained models into edge-deployed production pipelines. What We Are Looking For: Master’s or PhD in Computer Vision, Artificial Intelligence, Machine Learning, or a related field. 2–5 years of professional experience in Computer Vision and/or Deep Learning, applied to real-world Artificial Intelligence systems. Hands-on experience with:Python, PyTorch, C++ Experience with image and/or video analysis systems in production or near-production environments is a PLus Strong analytical, communication, and problem-solving skills. xsgfvud Hands-on experience with OpenVINO or TensorRT ina Plus. If you are an engineers who enjoys experimenting with advanced AI models and translating applied research into robust, production-ready solutions, we are waiting for you (REF:Computer Vision)