Recruit, nurture, and retain top engineering talent.Īt least 10 years of experience designing and building data-intensive solutions using distributed computing.Īt least 6 years of experience programming with Python, Scala, or Java.Īt least 5 years of people management experience.Īt least 5 years of experience leading platform software engineering teams.Īt least 3 years of experience with the full ML development lifecycle. Use programming languages like Python, Scala, or Java.Įvangelize best practices in all aspects of the engineering and modeling lifecycles. Optimize delivery, performance and quality of the platform data pipelines to feed ML models. Leverage cloud-based architectures and technologies to deliver optimized ML models at scale. Lead and deliver large-scale ML platform ecosystem initiatives with the customer in mind. You'll also mentor managers and other engineers and further develop your technical expertise, knowledge and skills to keep Capital One at the cutting edge of technology.ĭeliver technology platform ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams.ĭrive the platform creation and evolution of ML models and software that enable state-of-the-art intelligent systems. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Working within an Agile environment, you'll serve as a technical domain expert in machine learning, guiding machine learning, data processing, data serving architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our Feature Platform machine learning applications. You'll participate in the detailed technical design, development, and implementation and support of machine learning Feature Platform and its capabilitiesapplications using existing and emerging technology platforms. Locations: US Remote, United States of Americaĭirector, Machine Learning Engineering (Enterprise Feature Platform) (Remote)Īs a Director of Enterprise Feature Platform at Capital One Machine Learning Engineer, you'll be providing technical thought and execution leadership to Agile teams dedicated to productionizing data machine learning capabilities and applications and systems at scale.
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