As a Deep Learning Scientist with a focus on AI agents and knowledge-based systems, you will play a key role in the development and implementation of intelligent architectures that combine large language models, autonomous agents, and structured knowledge representations. Explore novel architectures such as Transformer-based models (e.g. BERT, GPT), retrieval-augmented generation (RAG), multi-agent systems, and neuro-symbolic approaches to improve reasoning, planning, and decision-making capabilities. Model Training and Evaluation - Train and fine-tune deep learning models using techniques such as transfer learning, self-supervised learning, in-context learning, and reinforcement learning for . * Strong theoretical and practical knowledge of deep learning models and architectures, par
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