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As a Senior Engineer in Generative AI, you will develop and implement machine learning applications, participate in architectural design, and resolve complex problems through coding. You will collaborate with cross-functional teams to enhance software for big data and ML applications, focusing on infrastructure decisions and continuous integration practices.

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.

The Director of Product Management role involves leading product strategy at Capital One Software, focusing on cloud and data management solutions. Responsibilities include understanding customer needs, driving product enhancements, fostering agile practices, and establishing long-term product strategies.

The Manager - Client Development at Capital One Shopping will manage partnerships with key merchants, integrating products and leveraging data to optimize business success. The role involves strategic account management, driving analyses to support merchant initiatives, and collaborating with internal teams to create tailored solutions.

The Distinguished Engineer will lead the development of model inference services and infrastructure for large-scale AI applications at Capital One. Responsibilities include building APIs for LLMs, optimizing inference performance, and implementing MLOps for model governance. The role requires collaboration with AI engineers to enhance customer-facing applications.