The common responsibilities for this position include implementing large model engineering, pre-training and fine-tuning large-scale models, integrating advanced technologies, and designing and optimizing model architecture. Responsibilities also involve training and evaluating multimodal models, ensuring continuous improvement of training and inference techniques, and deploying both open-source and commercial models. Additionally, the role requires managing technical systems, constructing NLP technology platforms, and applying research results to large model systems while innovating with model applications and enhancing data integration and service capabilities.
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