AI Engineer

• 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.

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 Tensor Flow.
• Experience with inference/deployment tools such as Tensor
  
  RT, 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)

• Permanent contract.
• Flexible working hours 8-10am/5-7pm and fridays 8-10am/2-4pm.
• Hybrid model, up to 2 days of teleworking per week.
• Dynamic work environment.
• Flexible remuneration with Cobee.