A Computer Vision Engineer specializes in developing systems and algorithms that enable machines to interpret and understand visual information from the world. Their work often involves image processing, pattern recognition, object detection, facial recognition, and deep learning. They use technologies like OpenCV, TensorFlow, and PyTorch to build and optimize models for applications in areas such as autonomous vehicles, medical imaging, surveillance, augmented reality, and industrial automation
Computer Vision Engineer with 5+ years of experience specializes in developing and optimizing computer vision models for image and video processing applications. Their responsibilities include designing and implementing deep learning and traditional computer vision algorithms for object detection, image segmentation, facial recognition, and motion tracking..
Key Skills:
- Computer Vision algorithms and techniques
- Machine Learning & Deep Learning (CNNs, RNNs, etc.)
- Programming languages: Python, C++, MATLAB
- Frameworks: OpenCV, TensorFlow, PyTorch, Keras
- Image and video processing
- Real-time object detection and tracking
📌 Computer Vision Engineer with 5+ years of experience (India)
🏢 Codeboard Technology Private
📍 India
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