Computer Vision Engineer

Bridging advanced research and production engineering, the full-time Senior Computer Vision Engineer will design and optimize deep learning models for retail environments while working remotely. Key Responsibilities Design, implement, and optimize state-of-the-art deep learning and visual-language models for retail edge deployments Bridge exploratory research and production code, executing data-backed analysis to validate algorithm performance Containerize and deploy robust ML pipelines using Docker across cloud and edge environments Required Qualifications 8+ years of industry experience delivering production-grade computer vision systems, with strong academic/research background (Master's or Ph.D. in CS, Robotics, Electrical/Computer Engineering, or related field) Proven history of translating complex R&D into evidence-backed production pipelines Deep expertise in PyTorch and Vision-Language Models (VLMs) Hands-on experience with TensorRT and CUDA optimization for GPU acceleration Production-grade Python mastery; strong C++ capability for high-performance components