Applied AI Lead-Vice President

Responsibilities

• Develop state-of-the art machine learning models to solve real-world problems in technology and infrastructure domains
• Collaborate with partner teams in strategy, governance, controls, and engineering to deploy solutions into production
• Bridge advanced AI research with robust engineering to build innovative, production-ready solutions

Requirements

• PhD in a quantitative discipline with 2 years of experience, or Masters with 5 years of industry/research experience
• Hands-on experience with machine learning, LLMs fine-tuning (including PEFT), and agentic design
• Experience with advanced agentic workflow orchestration and multi-agent coordination
• Extensive experience with PyTorch, Transformers, NumPy, Scikit-Learn, and Pandas
• Extensive experience with LangChain, LangGraph, vector databases, RAG, and agentic systems
• Ability to design experiments, training frameworks, and evaluate model performance metrics
• Experience with big data and scalable model training
• Strong written and spoken communication skills

Preferred Qualifications

• Experience deploying ML models for enterprise-scale metadata management, data governance, or cyber threat detection
• Experience with AWS deployment
• Ability to develop and debug production-quality code using AI pair programming
• Strong background in Mathematics and Statistics

About the Company

JPMorganChase is a leading global financial institution offering innovative financial solutions to millions of consumers, small businesses, and prominent corporate and institutional clients.