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Seeking a talented Solution Architect with strong analytical skills to work on complex problems in support of associate experience applications. Responsible for technical design and implementation of cross-functional, multi-platform application systems.
As a Distinguished Engineer at Capital One, you will provide technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You will be responsible for delivering ML models and software components, leading large-scale ML initiatives, and optimizing data pipelines for ML models. You will also evangelize best practices, help recruit top engineering talent, and continuously learn and apply the latest innovations in machine learning engineering.
Sr. Manager role on the Associate Intelligence team designing and delivering ML and AI products for Capital One customers. Responsibilities include defining user requirements, product vision, strategy, and prioritization. Must collaborate with stakeholders, data scientists, and engineers to maximize business outcomes and customer experience. Ideal candidate is passionate about impactful products and AI technologies.
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Collaborate with Agile teams to design, develop, test, and support technical solutions using full-stack development tools and technologies. Stay updated on tech trends, experiment with new technologies, and mentor others. Deliver cloud-based solutions to empower customers financially using various programming languages and tools.
The Distinguished Engineer - Card Machine Learning at Capital One is a technical expert responsible for defining the future of banking in the cloud. They lead a team to drive innovation, create reusable solutions, and optimize business outcomes through machine learning and data engineering. This role involves promoting engineering excellence, mentoring talent, and contributing technical expertise across the organization. The engineer is tasked with reducing time to market for critical models and leading GenAI initiatives.
Seeking a Senior Platform Engineer passionate about creating and supporting DevOps tools with emerging technologies. Responsibilities include working with product owners, improving software engineering practices, designing technical solutions, and mentoring team members. Requires experience with build and deployment tools and AWS. Preferred qualifications include Agile practices, Third Party Consulting, Web Automation, and Mobile Automation.
Senior Software Engineer - Backend role at Capital One involving collaboration with Agile teams, designing and developing technical solutions, staying updated on tech trends, and delivering cloud-based solutions. Requires 4 years of software engineering experience and a Bachelor's Degree. Preferred qualifications include 5+ years of experience in Java, Scala, Python, Go, or Node.js, and familiarity with cloud services, open source frameworks, and Agile practices.
As Director of Product Management for Experimentation Platforms at Capital One, you will lead collaborative solutioning for integrating experimentation and feature flagging into applications and channels. You will drive best-practice application of feature flags and define emergent product strategies. This role requires a focus on human-centered design, business acumen, technology-driven solutions, integrated problem solving, and transformational leadership.
The Director of Product Management - Release Management at Capital One is responsible for reimagining the status quo, finding value creation opportunities, and driving innovative and sustainable customer experiences through technology. The role involves leading a team to develop a compelling product vision, partnering with technology leaders, and influencing senior executives to deliver on the product portfolio strategy.
Lead a portfolio of diverse technology projects and a team of developers to create solutions meeting regulatory needs, stay up-to-date on tech trends, collaborate with product managers to deliver cloud-based solutions, and utilize a variety of programming languages and technologies.
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