As an AI/ML Executive Director, in our CCB Modeling Organization, you will work on developing cutting-edge large-scale Personalization, Search, Natural Language Processing and Conversational AI Systems to serve our customers and internal agents supporting the bank’s operations.

Job Responsibilities

Develop Foundational Models for Personalization, Search and Conversational AI using Chase enterprise data. Build ML Frameworks and Libraries to enable scalable approaches for training and inference of ML models  Utilize large-scale distributed computing to effectively apply Agentic-AI in real-world applications to serve JPMC customers and service agents across channels.  Use and extend GenAI capabilities to build differentiating applications that are customized to suit product and customer requirements. Effectively and efficiently develop various evaluation mechanisms to identify, address and improve the results of LLM based systems.  Build and Lead a team of Machine Learning applied researchers and engineers.  Provide technical and career guidance to the team members. Collaborate with cross-functional partners including product, data and engineering. Lead by example to provide the best service and build the most appropriate applications in a timely fashion to address customer concerns, resolving critical issues, and push forward on future roadmap and priorities.  Contribute to the full product development lifecycle, including defining the objective and key product deliverables.

Required qualifications, capabilities, and skills:

PhD in Computer Science, with a strong research and industry work experience in AI/ML, Distributed Computing, ML Ops, Recommender Systems, NLU and Information Retrieval.  Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders. Hands-on extensive experience in developing large-scale machine learning solutions based on big data to solve real world problems (e.g. Classification, Regression, or Recommender Systems). Advanced demonstratable programming skills of 10-15 years (PhD plus industry experience) on more than 1 programming language is required. Preferred: Spark, Python, Scala, Java.  Strong background in data structures, algorithms, operating systems, compilers, distributed computing and databases. 

Preferred qualifications, capabilities, and skills:

PhD in computer science with concentration in AI/ML. Full understanding and advanced programming skills using distributed infrastructure, platforms, and computational methods (including distributed ML).