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: 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; 8. Candidates 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).