Computer Vision Engineer Karnataka (India)

Educational Requirements Bachelor of Engineering Service Line Data Analytics Unit 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, data preprocessing, augmentation, annotation handling. Model Optimization and Deployment: Optimize models for performance, accuracy, and low latency; deploy models as APIs or 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 Qualified Requirements: Robust Python programming Experience with Computer Vision techniques Hands-on with: OpenCV, PyTorch / TensorFlow Positive understanding of: CNNs (Convolutional Neural Networks), Image processing concepts Preferred Skills: Technology->AI-Data science->Computer Vision .