Deep Learning Engineer

We are seeking a highly motivated Deep Learning Engineer with specialized expertise in computer vision and audio analysis. As a part of our team developing AI-driven solutions utilizing multi-modal deep learning, you will play a crucial role in designing and implementing deep learning models for various tasks such as image, video, object detection, and audio classification. Your responsibilities will include integrating attention mechanisms into model architectures, utilizing pretrained models for transfer learning, and working with video data using spatiotemporal modeling techniques. Additionally, you will be responsible for extracting and processing features from audio and evaluating and optimizing models for speed, accuracy, and robustness. Collaboration across teams to deploy models into production will also be a key aspect of this role. The ideal candidate should have strong programming skills in Python, proficiency in PyTorch or TensorFlow, and hands-on experience with CNNs, pretrained networks, and attention modules. A solid understanding of Vision Transformers, recent architectures, and attention mechanisms is essential. Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows is highly desired. Moreover, familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep models will be beneficial for this position. If you are passionate about deep learning, possess the required skills and experience, and are eager to contribute to cutting-edge AI solutions, we encourage you to apply for this position. Join us at CureBay and be a part of our dynamic team dedicated to pushing the boundaries of technology and innovation.,