AI Engineer at SENSIA Solutions

Leganés, Madrid Community, Spain -

Full Time

Start Date

Immediate

Expiry Date

17 Aug, 26

Salary

0.0

Posted On

19 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Computer Vision, Deep Learning, Python, C++, OpenCV, PyTorch, TensorFlow, Image Processing, CNNs, Transformers, TensorRT, ONNX Runtime, Git, Linux, GPU Acceleration, Object Detection

Industry

technology;Information and Internet

Description

Información de la empresa ¿Por qué nosotros? 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. Te ofrecemos 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), especially for About us We are shaping the future of infrared imaging here at SENSIA. Over the past 15 years, we have grown to become a major infrared industry player operating in energy, environment, safety, defense, transport, and space. Our well-known AI-powered infrared imaging solutions have been implemented globally across a variety of applications, mainly for gas detection for leak detection and repair, emissions measurement, and environmental compliance, but also for surveillance, flame detection, flare efficiency monitoring, preventive maintenance through intelligent thermography and more. Our young, innovative spirit combined with a dynamic, collaborative work culture comprised of top-notch engineers and professionals makes SENSIA a great place to apply oneself and grow professionally while having real impacts on society and industries on a global scale.

Responsibilities

Design and develop AI-based solutions for image and video analysis, focusing on deep learning models for detection, classification, and segmentation. Integrate these models into production environments using C++ and Python to ensure high-performance real-time processing.