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The VP of Engineering will lead and shape the Enterprise Platform Tech team at Capital One, focusing on improving developer experiences, modernizing secure production paths, and leveraging emerging technologies. This role demands strategic leadership in recruiting and mentoring top engineering talent while promoting Capital One's mission in the tech community.
The role involves leading the strategy for developing tools and services for reliable software systems at scale, enhancing developer experience, and adopting innovative technologies. The individual will act as a thought leader, engage with developers, and champion best practices in software delivery.
The VP, Executive Distinguished Engineer will lead the strategy for building tools and services that enhance software delivery. This role involves engaging with a developer community, promoting best engineering practices, and influencing the adoption of innovative technologies for effective software systems management. The engineer will also represent Capital One at various events, ensuring alignment with emerging technologies and continuous deployment initiatives.
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The VP, Executive Distinguished Engineer will lead the Delivery Experience organization to enhance the developer experience through building tools and implementing best practices for reliable software deployment. This involves assessing technologies, driving strategic vision, and communicating effectively with stakeholders, while also representing Capital One publicly.
As VP of Software Engineering within the Delivery Experience team, you will lead the development of tools and practices to enhance developer productivity and software reliability at Capital One. You will engage with developers, promote strategic vision, conduct research on infrastructure as code, and represent the company in the industry, fostering a strong brand and attracting talent.
The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.
The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.
As a Senior Lead AI Engineer, you will collaborate with engineers and scientists to design and implement AI software, drive product innovation, and enhance AI systems' performance at Capital One. This role involves developing scalable AI solutions and applying cutting-edge research techniques to enable transformative customer experiences.
As a Senior Lead AI Engineer at Capital One, you will design and develop AI software components, collaborate with cross-functional teams, introduce LLM optimization techniques, and contribute to the technical vision of foundational AI systems.
As a Senior Lead AI Engineer at Capital One, you will partner with cross-functional teams to design, develop, and support AI software components. Your responsibilities include deploying state-of-the-art AI models, utilizing a variety of open-source and SaaS technologies, and contributing to the long-term vision of foundational AI systems.
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