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As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. Responsibilities include designing, building, and delivering ML models and components, informing ML infrastructure decisions, solving complex problems, collaborating with cross-functional teams, retraining and maintaining models, leveraging cloud-based architectures, constructing data pipelines, and ensuring code quality and best practices in Responsible and Explainable AI.

As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications and systems at scale. You will design, build, and deliver ML models to solve real-world business problems, collaborate with cross-functional teams, and ensure high availability and performance of ML applications. Additionally, you will leverage cloud-based architectures, build optimized data pipelines, and follow best practices in Responsible and Explainable AI.

Collaborate with Agile teams to design and implement technical solutions using Java, Python, SQL, Node, Go, and Scala. Develop cloud-based solutions on AWS, GCP, or Azure. Drive transformation within Capital One by delivering robust experiences for customers.