Design, implement, train, optimize and deploy cutting-edge generative AI models and solutions. Conduct large-scale experiments and iterate rapidly. Ensure code quality, scalability, and maintainability. Support system design and transition prototypes to production. Strong Python and PyTorch programming skills demonstrated through relevant industry experience. Hands on experience with both diffusion models and autoregressive transformer-based architectures. Skilled in model training, fine-tuning, prompt engineering, evaluation, and pipeline optimization. Proficient in C++ and Android development. Experience with model optimization (e.g., quantization, pruning, distillation), and deployment on-edge devices and embedded platforms is a big plus. Experience with software engineering best practices. Familiar with development lifecycle and Agile methodologies. Comfortable working in a distributed team environment. B.Sc. degree in Computer Science, Electrical Engineering or related field. 3+ years of relevant experience. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow) and programming languages (Python, C++). Knowledge of LLMs, LVMs, transformers and diffusion models. Excellent problem-solving and communication skills. MSc or PhD, or equivalent experience from a recognized AI Residency program. Publications in top-tier AI/ML conferences. Experience in contributing to AI research projects. Contributions to open-source AI projects or community efforts. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 1+ year of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field.
