JPMorganChase is looking to leverage AI innovation to drive business results within the Commercial & Investment Bank's Global Banking team
Requirements
- Knowledge and experience in machine learning and artificial intelligence
- Expert in at least one of the following areas: Large Language Models, Natural Language Processing, Knowledge Graph, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis
- Good understanding of Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics
- Must have good knowledge on agentic patterns and relevant frameworks, such as LangChain, LangGraph, Auto-GPT etc
- Strong understanding of AI implementation in software development and legacy code transformation
- Demonstrated expertise in machine learning frameworks: Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn
- Programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy etc
Responsibilities
- Lead a local AI/ML team with accountability and engagement into a global organization
- Collaborate on setting the technical vision and executing strategic roadmaps to drive AI innovation
- Deliver AI/ML projects through our ML development life cycle using Agile methodology
- Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution
- Mentor junior team members delivering successful projects and building successful career in the firm
- Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements
- Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability
Other
- Masters with 7+ years experience or PhD with 3+ years of experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience
- Track record of managing AI/ML or software development teams
- Strong people management and team-building skills
- Ability to coach and grow talent, foster a healthy engineering culture, and attract/retain talent
- Ability to build a diverse, inclusive, and high-performing team
