Computer Vision Engineer – Retail AI Solutions

About the Role :
Were looking for a Computer Vision Engineer passionate about bringing AI to physical retail. Youll develop and deploy advanced vision models to automate planogram compliance, shelf monitoring, and visual merchandising analysis in real store environments.Key Responsibilities :Design and implement computer vision models for detecting planogram compliance, stock levels, out-of-stock conditions, and visual merchandising KPIs.Build and manage large-scale image datasets from diverse retail store environments, covering verticals such as fashion & apparel, grocery, and quick-service restaurants (QSR), including annotation, augmentation, and quality control.Fine-tune and optimize deep learning architectures (e.g., YOLO, Mask R-CNN, EfficientDet) for speed and accuracy on edge devices (TensorFlow Lite, ONNX, Jetson, mobile).Integrate models into production systems, react native mobile apps, and cloud platforms.Collaborate with product managers, retailers, engineers to align AI outputs with retail workflows and operational metrics.Continuously monitor and improve model performance in live deployments.Qualifications :Bachelors or Masters degree in Computer Science, Electrical Engineering, or a related field.1+ years of experienceProven experience in computer vision and machine learning applied to real-world image/video data.Hands-on experience with YOLO or similar object detection frameworks and libraries like OpenCV, TensorFlow, or PyTorch.Experience deploying models on edge or mobile devices.Strong understanding of retail store operations or prior work with retail datasets preferred.Excellent programming skills in Python/C++ and strong problem-solving ability.Immediate joiners preferred.

Preferred Skills :
Knowledge of planogram compliance, shelf monitoring, or retail analytics.Familiarity with cloud services (AWS, GCP, Azure) and CI/CD for ML pipelines.Experience optimizing models for low-latency inference in resource-constrained environments.