Nuestro cliente: líder internacional en el diseño de sistemas de análisis de vídeo basados en tecnologías de inteligencia artificial y visión por computador. Desarrollan algoritmos patentados altamente sofisticados para proteger y garantizar la seguridad de empresas, propiedades e infraestructuras críticas. Presente en más de 40 países y con 40.000 canales de video vendidos en todo el mundo; estando a la vanguardia del análisis de vídeo desde 2005.
We are looking for Computer Vision & AI Engineer to join their 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.
Requirements:
- Master’s or PhD in Computer Vision, Artificial Intelligence, Machine Learning, or a related field.
- +2 yeras of professional experience in Computer Vision and/or Deep Learning, applied to real-world Artificial Intelligence systems.
- Hands-on experience with Python, PyTorch, C++
- Strong analytical, communication, and problem-solving skills.
- Experience with image and/or video analysis systems in production or near-production environments is a PLus
- Hands-on experience with OpenVINO or TensorRT (pluses).
Ofrecen:
- Un salario competitivo: 35-45k€ brutos/año a negociar en función de experiencia contrastada.
- Un ambiente de trabajo dinámico y de colaboración.
- Oportunidad de carrera desafiante y gratificante.
- Plan de formación y desarrollo profesional en una empresa líder en inteligencia artificial.
- Trabajo presencial a tiempo completo con horarios de trabajo flexibles.
- Días disponibles para trabajar desde casa (15 días/año).
- Contrato fijo.
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.