Responsibilities: * Develop predictive models using Python & CV techniques * Optimize ML algorithms for performance & accuracy * Collaborate with cross-functional teams on project delivery
Were building some really exciting stuff in the retail AI space – smart vision, real-time insights, automation — the works. We’re looking for a Computer Vision Engineer (4+ years experience) to join our team! What you’ll be doing: Designing and training custom computer vision models tailored for real-world use cases. Containerizing (Dockerizing) applications to ensure scalability and reliability. Building systems capable of handling multiple real-time video feeds seamlessly. Architecting end-to-end solutions for the retail sector — including restaurants and supermarkets. What we’re looking for: 4+ years of hands-on experience in computer vision. Strong knowledge of deep learning frameworks (TensorFlow / PyTorch) / object detection models (Yolo, SSD, R-CNN Family). Train custom CV models that actually work in the wild (not just on benchmarks). Solid experience with Docker for deployment. Ability to design scalable architectures and optimize performance for multi-camera systems. Passion for solving problems in retail tech (customer experience, store analytics, automation). We’re a fast-moving startup you’ll have ownership, freedom to build things your way, and the chance to shape the core tech powering retail AI.