Senior Director, Machine Learning Engineering

- Lead and expand a high-performing engineering team responsible for the Personalization Platform that creates real-time, tailored product experiences and multi-channel user messaging across all Capital One offerings - Define the technical strategy, delivery roadmap, and operating framework for various portfolios, including recommendation systems, ranking, decisioning, GenAI infrastructure, MLOps, and low-latency application-serving systems - Build, mentor, and oversee engineers and engineering leaders; maintain high standards for hiring, performance, talent density, coaching, and succession planning throughout the team - Collaborate cross-functionally with Product, Data Science, Cloud Infrastructure, and Machine Learning Platform teams to synchronize strategy, prioritize investments, and co-develop advanced recommendation algorithms that serve Capital One users - Guide the design, development, and operation of robust ML infrastructure and pipelines, ensuring feature extraction, model training, testing, evaluation, deployment, and real-time/batch inference have strong reliability and operational standards - Architect low-latency, event-driven systems for real-time personalization and decision-making based on streaming data, user behavior, and contextual signals - Propel the evolution of MLOps practices using automated, metrics-driven deployment workflows, and model lifecycle governance - Drive the adoption of advanced AI and LLM optimization techniques to enhance scalability, cost-efficiency, latency, throughput, and reliability of large-scale production AI systems - Provide vision and leadership for the organization by influencing architecture, engineering standards, delivery excellence, incident management, and cross-team strategies while mentoring managers, tech leads, and senior engineers - Make informed build-vs-buy decisions across an extensive array of Open Source and SaaS AI technologies (e.g., AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch) - Attract and nurture top-tier talent in the AI sector, fostering a culture of continuous learning and staying updated on the latest developments in AI.