COMPUTER SCIENCE, ENGINEERING
Work description
- develop the requirements specification for a software module that enables the use of large language models (LLM) - fine-tuning pre-trained large language models (LLMs) - Smart assitants using Retrieval-Augmented Generation (RAG) - containerization and availability of trained models; - implementing the software module; - write the grant activity report
Academic Qualifications
Degree in Artificial Intelligence and Data Science or similar
Minimum profile required
- experience in the use of Large Language Models, from a development point of view.- proven experience in fine-tuning large-scale language models.- proven experience in software development using the Python programming language.- experience in remote environment development and version control tools and methodologies.- knowledge in applying Retrieval-Augmented Generation (RAG) techniques.
Preference factors
- experience incorporating large language models such as Llama and Gemini into software development pipelines; - experience with the Xtuner fine-tuning tool. - experience in quantitative and qualitative evaluation methodologies for large language models. - experience in containerization technologies. - good performance in programming courses and the development of artificial intelligence algorithms
Application Period
Since 31 Jul 2025 to 13 Aug 2025
Centre
Human-Centered Computing and Information Science