The common responsibilities for this position include implementing large language model engineering with a focus on inference optimization and model deployment, researching and implementing applications of large language models utilizing technologies such as AI-Agent, RAG, and LangChain, designing and optimizing model architecture to enhance performance based on business needs, constructing NLP technology platforms and tools to improve team R&D efficiency, and applying the latest research findings to large model systems. Additionally, responsibilities involve training and evaluating multimodal models, ensuring continuous improvement of training and inference techniques, and managing technical systems.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
Job classifications that have advertised a position
Academic degree required as indicated by all job postings
Job subclassifications that have advertised a position