Top AI & Machine Learning Jobs in Chicago, IL

The Senior Manager, Data Science will lead a team to assess and mitigate model risks, develop machine learning models, and enhance decision-making processes across various business domains in Capital One's Model Risk Office.

The role involves leveraging technologies like Python and AWS to develop statistical and machine learning models, translating complex data insights into business goals, and working with a cross-functional team.

Lead product management for Capital Ones Enterprise AI/ML platform, building intelligence capabilities and tools for data scientists and ML engineers. Drive roadmap, cross-functional execution with engineering, risk, security, and business partners, ensure governance, resiliency, and cost controls, and deliver scalable, user-centered platform experiences.

Lead product management for Capital One's Enterprise AI/ML platform, building capabilities for data scientists, ML engineers, and developers. Drive platform strategy, deliver resilient and governed AI solutions, collaborate with engineering, risk, security, and business teams, and translate user needs into scalable, operational products.

Responsible for validating payment network models, including fraud and AML. Engage with stakeholders, improve model accuracy, and leverage innovative technology for data analysis.

The Senior Associate, Data Scientist will partner with cross-functional teams to identify risks associated with models and validate machine learning models across the enterprise, enhancing decision-making while ensuring model governance and risk management.

Manage a team to assess model risks, build and validate machine learning models while leveraging advanced technologies and cross-functional collaboration.

Lead product strategy and delivery for Capital Ones AI coding and developer experience tools. Translate frontier AI into governed, developer-loved products that scale AI-augmented workflows, improve code review, embed enterprise standards, and accelerate software delivery through cross-functional leadership and data-driven decisions.