Asset Management - AI Algorithm Engineer - Associate/VP

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:
7. Bachelor degree or above in computer science, artificial intelligence, data science or related majors;
8. More than 3 years of experience in AI-related fields, with solid algorithm and engineering capabilities;
9. Familiar with core technologies such as machine learning, deep learning, natural language processing (NLP), and large language models (LLM);
10. Proficient in Python, and familiar with at least one programming language such as Java, SQL, Shell;
11. Have practical experience in RAG, Agent, Lang. Chain and other technologies, and have experience in actual project implementation;
12. Familiar with common open source frameworks such as Py. Torch, ML, DL, and NLP, and possess theoretical and practical skills in multi-machine and multi-GPU solutions based on large model training frameworks;
13. 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;
14. Candidates who have contributed to open source projects or published papers are preferred;
15. Candidates with experience in implementing AI platforms or enterprise-level AI solutions are preferred;
16. Having the ability to use English as a working language is preferred (optional);
17. Experience in the financial industry is preferred (not required).