We are seeking a Computer Vision Engineer to design, develop, and deploy image and video-based AI models for real-world applications. The role focuses on building and optimizing deep learning models for visual data, including tasks such as object detection, image classification, segmentation, and video analytics. Model Development Develop and train computer vision models for: Image classification Object detection (YOLO, Faster R-CNN, SSD) Image segmentation (U-Net, Mask R-CNN) Work with deep learning frameworks like TensorFlow / PyTorch Data Processing & Annotation Work with large-scale image/video datasets Perform: Data preprocessing Augmentation Annotation handling Model Optimization & Deployment Optimize models for: Performance Accuracy Low latency Deploy models as: APIs Edge / cloud-based solutions Pipeline Development Build end-to-end pipelines for: Data ingestion Training Evaluation Deployment Collaboration Work closely with: ML Engineers Backend developers Product teams Translate use cases into scalable CV solutions Object Detection: YOLO, SSD, Faster R-CNN Image Segmentation: U-Net, Mask R-CNN Image Classification Feature extraction & image transformations