Deep Learning Engineer

As a Deep Learning Engineer at CureBay, you will be an integral part of the team working on AI-driven solutions that leverage multi-modal deep learning techniques for tasks such as image, video, object detection, and audio classification. Your role will involve designing and implementing deep learning models, integrating attention mechanisms, and optimizing models for speed, accuracy, and robustness. Collaboration with cross-functional teams to deploy models into production will also be a key aspect of your responsibilities. **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 to enhance performance. - Utilize pretrained models for transfer learning to improve efficiency. - Work with video data using spatiotemporal modeling techniques. - Extract and process features from audio data for classification purposes. - Evaluate and optimize models for speed, accuracy, and robustness. - Collaborate with different teams to deploy models into production effectively. **Qualifications Required:** - Strong programming skills in Python. - Proficiency in PyTorch or TensorFlow. - Hands-on experience with Convolutional Neural Networks (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 learning models. If you are passionate about deep learning, possess the necessary skills and experience, and are excited to contribute to cutting-edge AI solutions, we invite you to apply for this position at CureBay. Join our dynamic team dedicated to pushing the boundaries of technology and innovation.,