AI Engineer

•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.

• 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.

• 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.

• 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.

• English: Professional working proficiency (minimum level recommended: B2)

• 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.

• 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.