Computer Vision Engineer

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

Additional Responsibilities:

Object Detection: YOLO, SSD, Faster R-CNN Image Segmentation: U-Net, Mask R-CNN Image Classification Feature extraction & image transformations

Technical and Professional 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