Vice President, Applied AI/ML: Lead Scalable Solutions

Fairygodboss; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase invites a seasoned Applied AI/ML Vice President to lead ambitious ML initiatives within the Corporate and Investment Bank Technology team. You will guide problem framing, design state-of-the-art models, and deliver robust AI solutions that drive measurable business impact across product, data engineering, and software teams.

You will build end-to-end ML pipelines, collaborate with product management and legal/compliance, and help scale AI capabilities across the organization while

Qualifications

• Advanced degree in a quantitative field with strong math and stats background.
• 7+ years applying data science and ML to business problems.
• Experience with NLP, GenAI, and large language models.
• Proven ability to design experiments and evaluate metrics.

Responsibilities

• Lead large AI/ML initiatives and align with product leadership on problems.
• Develop end-to-end ML pipelines, including NLP, personalization, or recommender systems.
• Collaborate with cross-functional teams to productionize models.
• Build batch and real-time model pipelines and integrate with front-end apps.
• Communicate complex concepts to senior leaders and stakeholders.
• Drive deployment, governance, and measurable business impact.

Skills

Python

ML/DL

NLP

Large Language Models

AWS

Experiment design

Team leadership

Education

Master's or PhD in CS/Data Science/Statistics/Math/ML

Tools

TensorFlow

PyTorch

Hugging Face

Scikit-Learn

AWS SageMaker

Job description

JPMorganChase invites a seasoned Applied AI/ML Vice President to lead ambitious ML initiatives within the Corporate and Investment Bank Technology team. You will guide problem framing, design state-of-the-art models, and deliver robust AI solutions that drive measurable business impact across product, data engineering, and software teams.

You will build end-to-end ML pipelines, collaborate with product management and legal/compliance, and help scale AI capabilities across the organization while