Asset Management - AI Algorithm Engineer - Associate/VP

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​

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).