Asset Management AI Algorithm Engineer AssociateVP

Job Responsibilities:

1. Responsible for the research deployment and optimization of large models including training fine-tuning prompt word engineering and private knowledge accumulation;

2. Undertake the implementation of large models and AI tools in enterprise business scenarios and promote the deep integration of AI technology and business;

3. Responsible for the algorithm research and technical implementation of the enterprise AI platform including model architecture design hardware selection and deployment;

4. Responsible for AI Workflow AI Agent development and tuning;

5. Undertake the overall architecture design of the AI platform to ensure system scalability high performance and high availability;

6. Work closely with the business team to implement AI technology in actual business scenarios and realize business value;

Job requirements:

1. Bachelor degree or above in computer science artificial intelligence data science or related majors;

2. More than 3 years of experience in AI-related fields with solid algorithm and engineering capabilities;

3. Familiar with core technologies such as machine learning deep learning natural language processing (NLP) and large language models (LLM);

4. Proficient in Python and familiar with at least one programming language such as Java SQL Shell;

5. Have practical experience in RAG Agent LangChain and other technologies and have experience in actual project implementation;

6. Familiar with common open source frameworks such as PyTorch ML DL and NLP and possess theoretical and practical skills in multi-machine and multi-GPU solutions based on large model training frameworks;

7. Possess a passion for technology and a responsible work attitude and be enthusiastic about technological innovation and implementation; possess a strong passion for applying artificial intelligence technology to the asset management field to generate business value;

who have contributed to open source projects or published papers are preferred;

9. Candidates with experience in implementing AI platforms or enterprise-level AI solutions are preferred;

10. Having the ability to use English as a working language is preferred (optional);

11. Experience in the financial industry is preferred (not required).