Computer Vision Expert, Data Scientist

London 22 months agoFull-time External
Negotiable
We are seeking a highly skilled Computer Vision Expert to join our dynamic team. The ideal candidate will have a proven track record of leading initiatives from ideation to productization, with a strong background in industrial research, particularly in the autonomous driving industry. As the Computer Vision Expert, you will be responsible for leading a team of engineers and data scientists in designing, implementing, deploying, and maintaining a range of Computer Vision and Machine Learning proof-of-concepts (PoCs) and minimal viable products (MVPs). Requirements: • Experience leading initiatives from idea to proof of concept (POC) to minimal viable product (MVP) to supporting productization efforts. • Demonstrable industrial research experience including patents and high-impact research publications. • Proven experience as a Data Scientist or similar role with experience managing team members working on related projects. • Solid understanding of machine learning, deep learning and computer vision. • Proficiency in Python, TensorFlow, PyTorch, Tflite, AI models quantization for edge devices, and deployment in web and mobile (on/off device) environments. • Strong C/C++ experience for low-level programming. • Deep learning optimization for edge devices and smartphones. • Experience with object segmentation, annotation, labeling tools as part of AI computer vision projects. • 5+ years of experience in the autonomous driving industry. • PhD in Computer Science, Data Science, Mathematics, or a similar field. Role: • Lead a team of Computer Vision engineers/data scientists, primarily working in Python, TensorFlow, PyTorch, etc. • Design, implement, deploy, and maintain Computer Vision and Machine Learning PoCs/MVPs, including identity & document verification, image processing, object detection, and tracking systems. • Validate and ensure compliance of data acquisition, annotation/segmentation/labeling, and AI/ML pipeline + surrounding infrastructure. • Take a fully hands-on approach towards problem-solving at each stage of the project development. • Architect upcoming projects, develop technical requirements, decompose tasks, prioritize, assign and control execution, optimize team efficiency. • Provide progress reports to the project director on a mid-quarterly and quarterly basis. If you're ready to be part of a team that values innovation, creativity, and a relentless pursuit of excellence, Apply now