Top AI & Machine Learning Jobs

Design, build, validate, and deploy machine learning models across the credit card lifecycle. Partner with cross-functional teams, analyze large numeric and textual datasets using Python, Spark, H2O and cloud platforms, and translate technical insights into business impact for card products.

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 and deliver card fraud detection solutions: design, train, validate, and deploy machine learning models at scale using big-data tools. Partner with engineers and product managers, translate technical work to business impact, and coach team members while leveraging cloud and open-source technologies.

As Director of Data Science, you'll lead a data science team to build generative AI solutions, leveraging machine learning and large-scale data analysis to enhance customer experience and drive business decisions.

As a Senior Data Scientist at Capital One, you will lead AI-powered product development using machine learning technologies, focusing on NLP and large language models to enhance customer experiences.

Build and deploy machine learning models to detect and prevent debit fraud in real time. Partner with cross-functional teams to design, train, validate, backtest, and operationalize models using large-scale data and modern MLOps tooling, translating technical results into business impact for customer protection.

Lead development of machine learning models for fraud detection and claims processing, partnering with cross-functional teams to design, train, validate, and deploy models using large-scale numeric and textual data to improve customer outcomes and expedite claims resolution.

Lead and execute compliance assessments of scripts and models (CoDIR), identify high-risk scripts, prepare and report findings, monitor governance inventory, and explore GenAI/automation to improve processes.

Build and deploy forecasting and machine learning models for Card Finance, partnering with engineers and product managers. Design, train, evaluate, validate, and implement models using a modern data stack (Python, Snowflake, OneLake, AWS, Spark, H2O) and translate technical results into business decisions.

Design, build, validate, and deploy machine learning models for Card Finance forecasting. Partner with cross-functional teams to develop a scalable forecasting ecosystem using Python, cloud platforms, and modern data tools, translating technical work into business outcomes.