About this opportunity
JPMorgan Chase & Co. lists this Applied Artificial Intelligence/ Machine Learning Lead - Vice President opportunity in jersey city, New Jersey. Review the employer’s description below for duties, qualifications and application requirements.
Job description
As an Applied AI/ML Vice President within Global Private Bank, you'll own the full lifecycle of high-impact models serving clients across wealth management, lending, and advisory, from problem framing with business stakeholders to production deployment at scale. You'll work on some of the most data-rich, complex client problems in financial services, with the infrastructure and resources of one of the world's largest institutions behind you. We're building AI-native capabilities at the intersection of cutting-edge research and real-world impact.
Job Responsibilities:
Define and scope AI/ML problem statements in partnership with Private Bank business leads, translating ambiguous client or operational pain points into tractable modeling problems
Design, build, and deploy end-to-end ML solutions — including generative AI, NLP, and classical machine learning— across client service, risk, and operational efficiency use cases
Own model quality, evaluation frameworks, monitoring, drift detection, and iteration post-deployment
Drive productionization and MLOps practices in collaboration with engineering, working across distributed data infrastructure
Stay current on applied research; evaluate and adapt emerging techniques — new architectures, agentic frameworks, multimodal models — for relevance to the Private Bank's problem space and translate promising work into production-ready solutions
Mentor junior data scientists and help set technical standards for the team
Collaborate across JPMorganChase's broader AI/ML community, model risk, compliance, and peer LOBs to align on standards, share learnings, and amplify the team's impact firm-wide
Required qualifications, capabilities, and skills:
Master's or PhD in Computer Science, Statistics, Applied Math, Data Science, or related quantitative field
Atleast 5 years of hands‑on ML experience in production environments.
Deep expertise in NLP, including modern LLM fine‑tuning, RAG pipelines, prompt engineering and the design and deployment of multi‑step AI agents
Strong Python skills; proficiency with PyTorch, TensorFlow, Scikit‑learn and other libraries
Experience with large‑scale data processing: Spark, Hive, SQL
Proven ability to communicate technical work to non‑technical stakeholders
Preferred qualifications, capabilities, and skills:
Financial services experience
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Worksite address
jersey city, NJ, 07390, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.