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As a Lead Machine Learning Engineer at Capital One, you will be responsible for designing, building, and delivering ML models and components to solve real-world business problems. You will work collaboratively with cross-functional teams to ensure high availability and performance of machine learning applications. Additionally, you will leverage cloud-based architectures and technologies to deliver optimized ML models at scale.

Lead Machine Learning Engineer at Capital One responsible for designing, building, and delivering ML models and components to solve business problems. Will work on ML architectural design, model training, and optimizing ML systems at scale. Collaborate with cross-functional teams to create state-of-the-art big data and ML applications.

Lead a team of developers in creating solutions using distributed microservices and full stack systems. Collaborate with digital product managers to deliver cloud-based solutions. Utilize programming languages and cloud services like Java, Python, SQL, Node, Go, Scala, AWS, Docker, and Kubernetes.

Lead a portfolio of diverse technology projects, share tech trends, collaborate with product managers, and deliver cloud-based solutions for financial empowerment using various programming languages and tools.

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company. Collaborate with digital product managers to deliver robust cloud-based solutions driving powerful experiences for customers.

Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices and full stack systems. Collaborate with digital product managers to deliver cloud-based solutions driving financial empowerment. Utilize programming languages and various AWS tools.

Lead a diverse portfolio of technology projects and a team of developers to create solutions meeting regulatory needs, stay updated on tech trends, collaborate with product managers for cloud-based solutions, and utilize various programming languages and tools.