- 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.
AI Engineer
Madrid
Tiempo completo
Empleado permanente
Tus tareas
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)
•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.
About us
SENSIA is a high technology company, leader in the field of IR imaging and very intensive in R+D. Our products provide services mainly in the industrial field, creating high added value in the monitoring of processes for the reduction of the carbon footprint produced by gas emissions into the atmosphere, increased safety, and optimization of operations. SENSIA has a wide range of highly differentiated solutions that are currently marketed in more than 15 countries with the USA as the main territory.
SENSIA is in the full growth cycle of business growth and technological development with a high degree of innovation that will have an impact on the next ten years. In order to meet the future challenges of the company, we require the expansion of our team.
Solutions (sensia-solutions.com)
SENSIA is in the full growth cycle of business growth and technological development with a high degree of innovation that will have an impact on the next ten years. In order to meet the future challenges of the company, we require the expansion of our team.
Solutions (sensia-solutions.com)