Design, develop, and implement Retrieval-Augmented Generation (RAG) systems utilizing Large Language Models (LLMs) to enhance our AI capabilities.
Work with vector stores, semantic search, and other relevant technologies to optimize the performance and accuracy of our LLM-based applications.
Conduct experiments to fine-tune LLMs for specific use cases and improve their effectiveness in real-world applications.
Stay up-to-date with the latest advancements in machine learning, natural language processing, and AI technologies to continually improve our methodologies and solutions.
Requirements:
Proven experience in applied machine learning with a focus on natural language processing and Large Language Models (LLMs).
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