Job Description: 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 Key Responsibilities: 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 Technical Requirements: Strong Python programming Experience with Computer Vision techniques Hands on with OpenCV PyTorch TensorFlow Good understanding of CNNs Convolutional Neural Networks Image processing concepts Additional Responsibilities: Object Detection YOLO SSD Faster R CNN Image Segmentation U Net Mask R CNN Image Classification Feature extraction image transformations Preferred Skills: Technology->data science->Computer Vision