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The Senior Engineer will be part of an Agile team focused on productionizing machine learning applications. Responsibilities include designing and implementing ML models, collaborating with product and data science teams, improving ML infrastructure, developing data pipelines, and ensuring the high performance of ML applications through best practices in continuous integration and deployment.

The Senior Engineer in Generative AI will design, develop, and implement machine learning applications, collaborate with cross-functional Agile teams, and maintain models in production. Responsibilities include coding, model training, data pipeline construction, and ensuring high availability and security of ML applications.

In this role, you will be a technical resource focusing on driving the adoption of Capital One Software products, leveraging your Databricks expertise to craft tailored solutions for customers. You'll collaborate with cross-functional teams to support technical alignment and help customers successfully implement and expand their use of the solutions offered.