Utilize cutting-edge deep learning techniques to develop advanced algorithms for neural rendering using Python and popular deep learning frameworks. Collaborate closely with a team of passionate researchers and developers to address complex challenges in deep learning, including multi-modal image synthesis, audio-visual data fusion, and image/video transformation. Enhance the performance of products, ensuring high levels of accuracy, speed, and scalability, with guidance from senior team members. Integrate developed software, algorithms, and AI models into our products and services, working collaboratively with stakeholders. Maintain the software's security, reliability, and maintainability, following senior team members" guidance. Conduct thorough testing and validation to meet the desired performance. Requirements: - Bachelor's or Master's degree in Computer Science, Engineering, or a related field. - 3+ years of industry or research experience in deep learning and computer vision, focusing on areas such as computational photography, neural talking head synthesis, representation and synthesis of lifelike facial attributes, and video synthesis. - Experience with self-supervised, few-shot, or zero-shot learning techniques for image synthesis, as well as domain adaptation techniques for face image synthesis. - Strong understanding of Generative networks for various use-cases like Super-resolution, Inpainting, etc., and state-of-the-art deepfake algorithms. - Minimum 2 years of relevant experience with generative networks such as Transformers, GANs, Auto-encoders, Diffusion models, etc. - Minimum 1-year experience with Vision Transformers. - Experience with multi-modal image synthesis with audio-visual data. - Proficiency in Python programming and deep learning frameworks like PyTorch or TensorFlow, with at least 3 years of experience. - Experience in developing scalable tools and solutions for real-world computer vision problems or visual effects. - Exceptional problem-solving skills and the ability to work effectively in a team environment. Bonus Qualifications: - MS or Ph.D. in Visual Computing, Computer Vision, Machine Learning, or a related field. - Experience with 3D GANs for human body/face synthesis.,

Development of mobile applications using Flutter is the primary responsibility of this role. You will be expected to ensure high quality, performance, and scalability in the applications you develop. Collaboration with cross-functional teams, including product managers, designers, and backend engineers, is essential to deliver compelling and user-friendly mobile experiences. Your tasks will involve architecting and implementing a robust, maintainable, and scalable codebase following best practices and design patterns. Staying updated with the latest Flutter developments, libraries, and best practices is crucial, and you should be proactive in introducing improvements to the development process. Working closely with QA engineers to ensure thorough testing and bug-free releases will also be part of your daily routine. Additionally, participation in architectural discussions, planning sessions, and technical design reviews is expected. To be eligible for this position, you should hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field. The role requires a focus primarily on execution-level tasks and the ability to manage large data efficiently in Flutter (e.g., lazy loading, pagination). You must have at least 5 years of experience in mobile application development, with a minimum of 4 years of hands-on experience with the Flutter framework. Experience with React native is a plus, and hands-on experience with the migration of a React native app to Flutter is a must. A strong understanding of object-oriented programming principles, design patterns, and data structures is essential. You should also possess a solid understanding of mobile app architecture, UI/UX design principles, and RESTful APIs. Familiarity with version control systems (e.g., Git) and agile software development methodologies is required. Excellent problem-solving skills and the ability to troubleshoot complex technical issues are a must, along with excellent verbal and written communication skills. A background in crypto finance is preferable for this role.,