Salary: strong>20-35K
Experience requirements: strong>Unlimited experience
Educational requirements: PhD or above
Job Description: strong>
Job description:
1. Research and implementation of reference large models in vehicle vertical classification, responsible for iterative optimization schemes such as prompt engineering, pre training, SFT, and RLHF for large models
2. Responsible for building the technology framework for in vehicle AI agents
3. Responsible for model training and deployment acceleration
4. Responsible for tracking the latest research results in the industry and implementing them, adjusting and optimizing algorithms based on actual business scenarios
Job requirements:
1. Familiar with research and application experience in deep learning, natural language processing, dialogue systems, etc
2. Familiar with the principles and mainstream model architectures of AI language models, with experience in pre training, fine-tuning, RLHF, and prompt engineering of large models
3. Understand the experience of developing Agent applications based on LLM, and be familiar with open-source frameworks such as Langchain and AutoGPT
4. Familiar with mainstream AI acceleration libraries and frameworks in the industry, exploring new inference optimization techniques and algorithms
5. Familiar with Tensorflow or Pytorch, with a deep understanding of basic models such as Transformer, BERT, GPT, etc
6. Strong programming skills, familiar with one or more development languages such as Python and C++
Please send your CV or resume as an attachment to the following email address:
mailto: rbhr@hrcenter.co.uk
With the subject line formatted as: 'Name + Position + Company Name + Location'.