VP of Applied AI/ML Engineering - Home Lending Data

Testing Site - JPMC; Jacksonville (FL); On-site; USD 140,000 - 190,000; Full time

Job summary

Testing Site - JPMC is seeking an experienced Applied AI/ML Engineer in Home Lending Data & Analytics to design and deploy AI-powered solutions that enhance data processing, analysis, and modeling. You will work with Data Owners, Reporting, Analysis, and Modeling teams to deliver robust AI-driven outcomes.

The role emphasizes production deployment, scale, and maintainability, leveraging Python, foundation LLMs, and cloud platforms.

Qualifications

• 7+ years of work experience.
• Master's degree in a quantitative field (Data Science, CS, Engineering, Math, Physics, etc).
• Proven track record of delivering projects in AI/ML and data analytics.
• Proficiency in Python.
• Experience with foundation LLMs (e.g., GPT-5, Claude), RAG, Agents.
• Strong understanding of software engineering principles: version control, testing, code optimization.
• Technical documentation experience preferred.

Responsibilities

• Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives.
• Collaborate with Data Owners, Reporting, Analysis, and Modeling teams on AI/ML projects including generative AI.
• Deploy and scale AI models to production environments with robustness and security.
• Fine-tune AI models for optimal performance and efficiency.
• Integrate AI solutions into existing systems with product teams.
• Own the code lifecycle from development to production maintenance.

Skills

Python

AI/ML

Data analytics

Software engineering

Documentation

Stakeholder communication

Cloud experience

Education

Master's degree in Data Science / CS / Engineering

Tools

AWS

Databricks

Git

Job description

Testing Site - JPMC is seeking an experienced Applied AI/ML Engineer in Home Lending Data & Analytics to design and deploy AI-powered solutions that enhance data processing, analysis, and modeling. You will work with Data Owners, Reporting, Analysis, and Modeling teams to deliver robust AI-driven outcomes.

The role emphasizes production deployment, scale, and maintainability, leveraging Python, foundation LLMs, and cloud platforms.