Top AI & Machine Learning Jobs

Lead design, build, and productionize large-scale ML systems (including RL-based recommenders). Collaborate with Product and Data Science to create data pipelines, cloud architectures, CI/CD, model retraining, monitoring, and Responsible/Explainable AI practices. Mentor and lead teams to deliver performant, resilient ML applications across web, mobile, and email.

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.

Lead ML Engineer for Finance Tech to design, build, deploy, and maintain AI/ML systems (including LLMs and RAG). Partner cross-functionally to create production data pipelines, model evaluation, governance, observability, and responsible AI practices while contributing technical vision and scaling AI infrastructure.

Drive intake, prioritization, and refinement of early-stage GenAI use cases for Card products. Break down epics into features and user stories, define acceptance criteria and MVPs, prioritize roadmaps using data, and collaborate with designers, engineers, data scientists, and stakeholders to deliver customer-focused AI-driven product experiences in an agile environment.

Lead design and build of a Content Hub for semantic retrieval: vector and graph DB infrastructure, embedding pipelines, indexing and query layers, model selection and refresh, and lead engineering projects and a developer team to deliver cloud-based AI content solutions.

Lead onboarding and roadmap for integrating conversational AI into an enterprise QA platform. Design automated AI QA, evaluation pipelines, and closed-loop feedback systems to scale consistent, accurate assessments across complex customer intents.

Provide technical leadership to design, build, and productionize large-scale ML systems; deliver and optimize ML models and data pipelines using distributed and cloud architectures; mentor engineers, evangelize best practices, and collaborate with Product, Architecture, Engineering, and Data Science teams.

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.