JPMorgan Chase within the Commercial & Investment Bank's Global Banking team is looking to leverage technical expertise and leadership abilities to support AI innovation.
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.
Experience in advanced applied ML areas such as GPU optimization, finetuning, embedding models, inferencing, prompt engineering, AI evaluation, RAG (Similarity Search).
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.
Help transform business requirements into AI/ML specifications, define milestones, and ensure timely delivery.
Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results and productionize highly performant, scalable, trustworthy and often explainable solution.
Evaluate and design effective processes and systems to facilitate communication, improve execution, and ensure accountability.
Participate and contribute back to firmwide Machine Learning communities through patenting, publications and speaking engagements.
Other
14+ years (BE/BTech/BS) or 8+ (ME/MTech/MS) or 5+ (PhD) years of relevant experience in Computer Science, Information Systems, Statistics, Mathematics, or equivalent experience.
Track record of managing AI/ML or software development teams.
Experience as a hands-on practitioner developing production AI/ML solutions.
Ability to set teams up for success in speed and quality, and design effective metrics and hypotheses.
Strong people management and team-building skills.
