Home Lending Data & Analytics – Applied AI/ML Engineer jobs in United States
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Chase · 1 month ago

Home Lending Data & Analytics – Applied AI/ML Engineer

Chase is seeking an Applied AI/ML Engineer to play a pivotal role in shaping the future of Data & Analytics. The role involves designing and implementing AI-powered solutions to enhance operational efficiency and improve data quality within the Home Lending Data & Analytics team.

BankingFinancial Services

Responsibilities

Write and deliver high-quality code for AI-driven Home Lending Data & Analytics initiatives, ensuring robust and efficient solutions that meet business objectives
Work closely with Data Owners, Reporting, Analysis, and Modeling teams to address and solve complex problems including AI, ML, and advanced analytics, with a focus on generative AI technologies
Deploy and scale AI models to production environments, ensuring robustness, reliability, security, and compliance
Fine-tune AI models for optimal performance and efficiency, addressing any issues that arise
Work closely with data scientists, software engineers, and product teams to integrate AI solutions into existing systems and workflows
Own and manage the entire code lifecycle, from development through production deployment and ongoing maintenance, adhering to best practices
Develop and maintain comprehensive technical documentation for all AI solutions, ensuring clarity, accuracy, and accessibility for both technical and non-technical stakeholders
Continuously monitor AI performance, making necessary adjustments to maintain and improve accuracy and efficiency
Engage with stakeholders to develop, demonstrate, and iterate on deliverables, ensuring alignment with analyst needs and regulatory requirement

Qualification

AI/ML experiencePythonFoundation LLMsAWS Cloud PlatformDatabricksSoftware engineering principlesTechnical documentation

Required

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

Preferred

Experience with AWS Cloud Platform and Databricks for deploying and managing machine learning models preferred

Company

Chase provides broad range of financial services. It is a sub-organization of JP Morgan Chase.

Funding

Current Stage
Late Stage

Leadership Team

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Mike McDonnell
Managing Director, Head of Chase Travel Platform Product
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Nicole Sanchez
Managing Director, Consumer Bank, GM and Product Executive, Growth Financial Products
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