Deep Learning Engineer

Role Overview: You will be responsible for understanding computer vision and its applications in intelligent automation systems. You will also need to discover and use deep learning techniques to develop computer vision applications. Your role will involve building complex computer vision applications using the latest techniques in OpenCV, Python, and NumPy. Additionally, you will create practical applications such as face detection and recognition, handwriting recognition, object detection, tracking, and motion analysis. Key Responsibilities: - Understand computer vision and its applications in intelligent automation systems - Discover and utilize deep learning techniques for building computer vision applications - Build complex computer vision applications using OpenCV, Python, and NumPy - Develop practical applications including face detection and recognition, handwriting recognition, object detection, tracking, and motion analysis Qualifications: - Proficiency in Artificial Intelligence and Computer Vision - Experience with OpenCV - Working knowledge of processing images and videos - Designed projects on deep learning applications with computer vision - Familiarity with image captioning, generative models, video analysis, neural networks, convolutional neural networks, recurrent neural networks, image manipulation, image segmentation, object detection, feature mapping, object detection, and tracking (Note: Knowledge of Graphic Design and Animation Design is an added advantage.),