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Research Scientist in Computer Vision
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Research Scientist in Computer Vision
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Lead Computer Vision Engineer
4 months ago
Our client, a cutting-edge deep-tech AI platform in the MENA region, is looking for a Lead Computer Vision Engineer. They are looking for a Senior/Lead Computer Vision Engineer to help automate map creation using data science techniques. The successful candidate would have a deep understanding of computer vision, machine learning, and geospatial data processing. (*This role requires relocation to Riyadh, KSA*) You will be responsible for Solving object detection, positioning, instance segmentation, and tracking. Development of algorithms and models to extract different features from videos captured by mobile mapping equipment and satellite data. Deployment of computer vision algorithms and ML models. Work closely with a cross-functional team of data scientists, software engineers, and product managers to define project requirements and deliver solutions. Mentor junior engineers and provide technical leadership in computer vision and machine learning projects. Conduct performance analysis and fine-tune models for optimal performance. Stay up-to-date with the latest advancements in machine learning and computer vision technologies. The Must-Haves Minimum of 4 years of experience in computer vision, image processing, and machine learning. Experience with image processing algorithms, including advanced computer vision techniques such as projective geometry, camera localization, motion estimation, and 3D reconstruction. Robust knowledge and practical experience in designing, training, evaluating, and optimizing Deep Learning networks. Strong proficiency in programming languages such as Python, C++, and experience with computer vision libraries (e.g., OpenCV, TensorFlow, PyTorch). Understanding of machine learning methods for classification, regression, and clustering. A highly driven individual who consistently stays informed about the latest developments and advancements in computer vision and deep learning methodologies and architectures. The Nice-to-Haves Experienced with camera localization and motion estimation using a combination of different sensors. Experience with cloud computing platforms (e.g., AWS, Google Cloud) for large-scale data processing.
