Senior Computer Vision Architect
3 weeks ago
Senior Computer Vision Engineer required for a cutting-edge HealthTech Scale up, using AI and Sensor Intelligence to make medical practices safer. The ideal candidate will have experience in object detection & recognition and multimodal LLMs for an AI platform in Digital Health.
About the Company
Xcede is an exciting HealthTech Scale up that combines AI and Sensor Intelligence to improve medical practices. We are looking for a Senior Computer Vision Engineer with expertise in object detection & recognition and multimodal LLMs to join our top-tier team of Computer Vision Engineers.
Responsibilities
The successful candidate will be responsible for applying object detection & recognition techniques to build deliver cutting-edge work for an AI Platform in Digital Health. They will leverage their experience in data augmentation and integrating multimodal data sources including RGB & NIR as well as Multimodal LLMs. Additionally, they will apply novel approaches to cutting-edge research projects in computer vision and deep learning. Collaboration within a high-performing team of Computer Vision Engineers is essential, working in a test-driven development environment and writing production-level code to engineer solutions at scale for the platform.
Requirements
We require a minimum of MSc (ideally PhD) + 4 years of experience in commercial real-world applications, leveraging Computer Vision techniques including Object Detection & Recognition, Image Segmentation and Multimodal LLMs. Proficiency in Python, OpenCV, PyTorch, Numpy is also necessary. Experience with imaging modalities (RGB, NIR) to enhance computer vision models is desirable. The ability to write production-level code in Python (C++ is also desirable) and ideally prior experience working in test-driven development environment is also required. Experience with LiDAR and imaging sensors for mobile applications in Computer Vision is desirable, but not essential.
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