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As a Lead Machine Learning Engineer at Capital One in Bank Tech, you will design, build, and deliver ML models to solve business problems. You will collaborate with cross-functional teams, optimize ML models at scale, and ensure best practices in ML engineering. Key responsibilities include building data pipelines, automating tests and deployment, and utilizing cloud-based architectures.

Lead a team of developers in diverse technology projects utilizing cloud-based solutions to drive powerful experiences for millions of customers. Requires expertise in DevOps Engineering, Cloud Native technologies, Unix/Linux system administration, people management, and programming languages like Java, Python, SQL, Ruby, and Go.

Manager, Product Management role at Capital One focusing on AI/ML capabilities. Responsibilities include developing product vision, understanding customer needs, prioritizing backlog, incorporating design thinking, and enabling collaboration. Ideal candidate is passionate about building impactful products, experienced in machine learning, and has strong communication and collaboration skills.

Manager, Product Management role focused on AI/ML tools at Capital One. Responsibilities include product vision, user research, backlog prioritization, design thinking, team collaboration, and customer connection. Ideal candidate is passionate about impactful products, has experience in machine learning, agile environment, and excellent communication skills.

Manager, Product Management role at Capital One focusing on AI/ML technologies. Responsible for developing the product vision, prioritizing backlog, and enabling collaboration between teams. Requires 3 years of experience in product management or related fields, Bachelor's degree, and proficiency in Python and Java.

Collaborate with Agile teams to design, develop, test, and support technical solutions using Java, Python, Docker, Kubernetes, AWS, Apache Kafka, and Agile practices. Drive transformation within a major organization to deliver robust cloud-based solutions.

Seeking a Senior Software Engineer with 4 years of experience to collaborate on designing, developing, and implementing technical solutions using full-stack development tools and technologies. Must have expertise in Java, Python, RDBMS, Docker, Kubernetes, AWS, GCP, Microsoft Azure, Apache Kafka, and Agile practices.