Deep Learning Engineer

As a Deep Learning Engineer at CureBay, you will be a key member of the team focused on developing AI-driven solutions through multi-modal deep learning techniques. Your role will involve designing and implementing deep learning models specifically for tasks like image, video, object detection, and audio classification. Your contributions will be crucial in integrating attention mechanisms into model architectures, utilizing pretrained models for transfer learning, and applying spatiotemporal modeling techniques to video data. Key Responsibilities: - Design and implement deep learning models for various tasks including image, video, object detection, and audio classification - Integrate attention mechanisms into model architectures and utilize pretrained models for transfer learning - Work with video data using spatiotemporal modeling techniques - Extract and process features from audio and optimize models for speed, accuracy, and robustness - Collaborate across teams to deploy models into production Qualifications Required: - Strong programming skills in Python - Proficiency in PyTorch or TensorFlow - Hands-on experience with CNNs, pretrained networks, and attention modules - Solid understanding of Vision Transformers, recent architectures, and attention mechanisms - Experience in implementing and training object detection models, video analysis, temporal modeling, and audio classification workflows - Familiarity with handling large-scale datasets, designing data pipelines, and training strategies for deep models If you are passionate about deep learning and possess the necessary skills and experience, we invite you to apply for this exciting opportunity at CureBay. Join our dynamic team dedicated to driving the forefront of technology and innovation.,