Senior Data Intelligence Engineer

Overview

Job Purpose

The Document and Data Automation team is seeking a Senior Data Intelligence Engineer to build and improve AI-driven systems that automate mortgage workflows.

We develop document recognition, dataextraction and analytics solutions that shorten loan processing times from weeks to minutes, directly supporting ICE Mortgage Technology's mission to streamline homeownership.

As a Senior Engineer, you will design scalable data and machine learning solutions, uncover complex data patterns, and collaborate across engineering, data science, and product teams to integrate GenAI capabilities that accelerate intelligent automation, enhance decision-making, and drive measurable improvements in accuracy and efficiency.

Your Impact

• Accelerate intelligent automation by building scalable data pipelines, machine learning models, and GenAI solutions that transform mortgage documents and significantly improve efficiency and accuracy of the mortgage workflows.
• Enable data-driven decision-making through rigorous data analysis that enhances model performance, optimizes operational workflows, and facilitates measurable business outcomes.
• Drive innovation through collaboration by partnering with cross-functional teams to continuously evolve the technology stack and integrate cutting-edge GenAI capabilities.
• Directly influence customer experience by delivering solutions that significantly reduce loan processing times and increase reliability, directly benefiting homebuyers and the broader mortgage ecosystem.

Responsibilities

Design, develop, and deploy scalable data pipelines, ML models, and GenAI-powered solutions that automate document processing and data extraction with high accuracy and performance.

Continuously explore and adopt emerging GenAI technologies to enhance automation capabilities.

Align data pipeline design with end users' needs by defining clear outputs and business outcomes.

Continuously monitor deployed solutions to ensure optimal performance, accuracy, scalability, and reliability.

Knowledge and Experience

Solid understanding of statistics, data analysis, and Machine Learning fundamentals.

Extensive Python programming experience (3+ years), with strong proficiency in libraries such as pandas, scikit-learn, Hugging Face Transformers, MLFlow and Jupyter.

Preferred

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