AI Engineer

Tus tareas - Design, develop and maintain Computer Vision and AI-based solutions for image and video analysis applications. - Develop, train, validate and optimize deep learning models, including CNNs, Transformers and other state-of-the-art architectures for detection, classification, segmentation and tracking tasks. - Implement image pre-processing and post-processing pipelines to improve model robustness and overall system performance. - Develop and optimize image processing algorithms using libraries such as OpenCV for feature extraction, filtering, enhancement, geometric transformations and analytical processing. - Integrate AI models into production environments, ensuring efficient inference, scalability and maintainability. - Develop software components in C++ for high-performance image processing and real-time systems. - Collaborate with multidisciplinary teams to define requirements, validate results and deploy solutions into real-world applications. Tu perfil Experience : •Proven experience in Computer Vision, Image Processing and Artificial Intelligence applied to real-world problems. •Hands-on experience developing and deploying deep learning models for vision-based applications. •Experience with image pre-processing and post-processing techniques in production pipelines. •Experience in performance optimization and efficient implementation of AI/image processing solutions. •Experience working with both research-oriented prototyping and production-level software development is highly valued. •Experience in real-time or near real-time systems is a plus. Studies : • Degree in Computer Science, Telecommunications, Mathematics, Physics or a related technical field. • MSc or specialization in Artificial Intelligence, Computer Vision, Machine Learning or Image Processing is a plus. Knowledge : • Strong knowledge of Computer Vision and Digital Image Processing fundamentals. • Solid understanding of Deep Learning and modern architectures such as CNNs, Transformers and related computer vision models. • Knowledge of model training, validation, evaluation metrics, hyperparameter tuning and dataset preparation. • Good understanding of image enhancement, filtering, segmentation, feature extraction, object detection and tracking techniques. • Knowledge of inference optimization and model deployment workflows. • Understanding of software engineering best practices, code modularity, version control and maintainable development. Work tools • Python for AI development, model training, experimentation and data analysis. • C++ for performance-critical modules and image processing pipelines. • OpenCV for image and video processing. • Deep learning frameworks such as PyTorch and/or TensorFlow. • Experience with inference/deployment tools such as TensorRT, ONNX Runtime or similar engines. • Familiarity with Git, debugging tools and development environments for Linux and/or Windows. • Experience with GPU-based development and acceleration is a plus. Soft skills • Strong analytical and problem-solving skills. • Ability to work independently and proactively in technical environments. • Good communication skills and ability to collaborate with multidisciplinary teams. • Ability to translate research ideas into robust and maintainable production solutions. • Willingness to learn, adapt and explore new technologies. Languages • English: Professional working proficiency (minimum level recommended: B2) Te ofrecemos - Permanent contract. - Flexible working hours 8-10am/5-7pm and fridays 8-10am/2-4pm. - Intensive work schedule in August. - Hybrid model, up to 2 days of teleworking per week. - Dynamic work environment. - Flexible remuneration with Cobee.