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# Computer Vision Engineer

- **Company:** ProntoPro
- **Location:** Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Optical Character Recognition (OCR), Computer Vision, Business Software, Image Analysis, Data Governance, Python (Programming Language), Machine Learning, Object Detection, OpenCV, Tensorflow, Pytorch, Deep Learning, Information Technology, Machine Learning Operations
- **Published:** August 15, 2026
- **Apply:** https://es.trabajo.org/oferta-5001-568e3309a3a26b47f6e42f2b39066f25

## About the Role

Senior Computer Vision Engineer Location: Remote from Spain (an indefinite Spanish employment contract) Join a transformative data and AI platform initiative aimed at modernizing enterprise-scale capabilities and enabling real-time decision-making. This project delivers a comprehensive roadmap covering AI, MLOps, data governance, and platform scalability, supporting a shift towards data-first operations and intelligent automation. Requirements: - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or a related field (PhD is a strong advantage). - 5+ years of experience developing Computer Vision and Machine Learning solutions. - Strong knowledge of deep learning architectures including CNNs, Vision Transformers (ViTs), object detection, image segmentation, OCR, image classification, and multimodal vision models. - Hands-on experience implementing Explainable AI (XAI) techniques - Experience measuring and improving model
transparency, fairness, robustness, and uncertainty. - Strong Python programming skills. - Experience with PyTorch and/or TensorFlow. - Experience with OpenCV and modern computer vision libraries. - Experience designing, executing, and evaluating Proof-of-Concepts and research prototypes. Will be a plus: - Experience working in consulting or client-facing innovation projects. Responsibilities: - Design, develop, and optimize advanced computer vision models for image analysis. - Research and implement Explainable AI (XAI) techniques to improve model transparency, interpretability, fairness, and trustworthiness. - Develop methods to visualize and explain model predictions for technical and non-technical stakeholders. - Build Proof-of-Concepts (PoCs) and prototypes to validate new ideas, algorithms, and technologies. - Design experiments, analyze results, and communicate findings to engineering teams and business stakeholders. - Evaluate model robustness, bias, uncertainty, and
performance under real-world conditions. - Collaborate with data scientists, ML engineers, software engineers, and product teams to deliver innovative AI solutions Why this position: This role is ideal for someone who enjoys solving complex technical problems, experimenting with new approaches, and bridging cutting-edge research with real-world business applications.



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