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Advanced Computer Vision Solutions Architect
3 weeks ago
We're at the forefront of AI-powered vehicle inspection technology, transforming the automotive and insurance industries with cutting-edge solutions. Our platform has processed over 10 million vehicle inspections for numerous global enterprises, setting new standards in vehicle inspection quality and efficiency.
Computer Vision Lead Opportunity
As a skilled Computer Vision Lead, you will oversee the development and deployment of advanced computer vision models, pushing AI research boundaries while ensuring real-world performance requirements. You'll work closely with product teams to deliver innovative solutions that meet the needs of our customers.
Responsibilities
- • Provide technical guidance and mentorship to the computer vision team, fostering continuous learning and innovation.
- • Develop and deploy computer vision models into production environments, collaborating with product managers and engineers to ensure alignment with business objectives.
- • Design, train, and optimize computer vision models using techniques like YOLO, Faster R-CNN, and key point detection, implementing multi-task learning and self/semi-supervised strategies to enhance model performance.
Requirements
- • Extensive experience in designing, training, and deploying computer vision models, with deep knowledge of architectures like YOLO and FRCNN.
- • Proven expertise in key point detection, multi-task learning, and self/semi-supervised methodologies.
- • Strong Python programming skills and hands-on experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
- • Ability to lead technical teams and collaborate with cross-functional stakeholders.
- • Advanced degree (Master's or PhD) in Computer Science, Electrical Engineering, or a related field is preferred.
- • Experience bridging the gap between research and product deployment is a plus.
