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# Computer Vision Engineer

- **Company:** Grupo Oesía
- **Location:** Spain
- **Contract:** Permanent contract
- **Skills:** Computer Vision, Computer Engineering, Image Analysis, Python (Programming Language), Machine Learning, OpenCV, Tensorflow, Pytorch, Modeling and Simulation
- **Published:** August 11, 2026
- **Apply:** https://www.jobleads.com/es/job/ec44ebe1e50dcd69d08ecc9fd6c0d077f

## About the Role

* An/a Computer Vision Engineer, with at least 10years of experience.
 * Availability to join a stable project in Madrid.
 * Degree:
 * Work Model:On-site
 * Work Schedule:Complete, * 6-10 years of experience in Computer Vision, image processing, target detection and tracking algorithms, ideally within defense, aerospace, or advanced sensing environments.
 * Bachelor's or Master's degree in Computer Engineering, Industrial Engineering, Aerospace Engineering, Telecommunications Engineering, or a related field.
 * Hands-on experience in Python programming and with libraries/frameworks such as OpenCV, TensorFlow, and/or PyTorch.
 * Strong technical English proficiency.
 * Nice to have: experience with EO/IR (Electro-Optical/Infrared) systems, knowledge of thermal and infrared image analysis and processing, understanding of optics, photonics, or advanced sensing technologies, and experience in the modeling and simulation of electro-optical sensors.

## Description

* Design and develop Computer Vision algorithms for the detection, recognition, classification, and automatic tracking of targets.
 * Participate in R&D projects involving EO/IR (Electro-Optical/Infrared) systems for defense applications.
 * Develop Machine Learning and Deep Learning-based solutions for the processing and analysis of visible and infrared imagery and video.
 * Implement and optimize image processing algorithms using Python, OpenCV, TensorFlow, and PyTorch.
 * Design, validate, and optimize thermal imaging analysis models and advanced sensor solutions.
 * Collaborate in the simulation, integration, and evaluation of next-generation electro-optical systems.
 * Participate in the validation, testing, and integration of algorithms in both simulated and operational environments, ensuring seamless interaction with electro-optical systems.
 * Contribute to the development of new technological capabilities in the field of advanced surveillance and observation systems.


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