Top AI & Machine Learning Jobs in Chicago, IL

Lead development and production deployment of machine learning models to detect first-party card fraud at scale. Partner with engineers and product managers to design, train, validate, monitor, and maintain models using big-data tooling, ensure regulatory compliance and model risk governance, and translate technical work into business impact.

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.

As a Data Scientist, you will analyze data, build machine learning models, and collaborate with cross-functional teams to enhance customer offerings within the Discover Card portfolio.

Lead model validation and risk quantification across business domains. Partner with data scientists, engineers, and PMs to build and challenge production models using Python, Spark, H2O, and cloud tools. Drive model governance, backtesting, and present identified model risks to executives while mentoring teams and advancing validation frameworks.

Lead Enterprise AI product strategy for Associate Experience, unify AI initiatives, set governance and roadmaps, drive adoption via enablement and standardized interaction patterns, and manage cross-functional alignment and a product team integrating AI agents and core services.

As a Principal Associate, Data Scientist, you will develop machine learning models and analytics to combat money laundering, collaborating with a cross-functional team and modernizing risk management practices.

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.

Lead a product team building ML and GenAI infrastructure and model delivery for marketing and acquisitions. Define problem statements, set 3-year roadmaps tied to business outcomes, partner with data scientists and engineers, drive reusable scalable capabilities, influence cross-functional stakeholders, recruit and mentor talent, and measure success with data-driven metrics.

Lead product efforts for machine learning-driven marketing and acquisition products. Collaborate with data scientists, engineers, and designers to define acceptance criteria, break down epics into MVP features and user stories, prioritize roadmaps, manage agile delivery, and drive stakeholder alignment to build scalable ML product platforms.

Lead product strategy and execution for Google AI products across adoption, experimentation, and enterprise-wide scaling. Drive user adoption, evaluate new AI capabilities, build business cases, align with executives, and manage end-to-end launches to deliver measurable value for 100,000+ associates.