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Lead Software Engineer, DevOps - Site Reliability Engineering
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- Center 3 (19075), United States of America, McLean, VirginiaLead Machine Learning Engineer (Intelligent Foundations and Experiences)As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale.
- You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications.
- Team Info: The Enterprise ML Libraries & Tools (EMLT) Workflows team provides the last-mile tooling needed to enable Data Scientists to develop and deploy workflow pipelines on our Enterprise ML Platform (EMP).
- We work directly with our DS customers on many of the most critical credit, fraud, and decisioning models used to ensure they can onboard to our enterprise offerings and accelerate the adoption of AI/ML at scale.
- As a Lead MLE, you will develop workflows in Kubernetes-based platforms, including KubeFlow Pipelines, and scale out big-data workloads using Spark and Dask. If you enjoy working in a highly collaborative environment and implementing leading-edge technologies and AI/ML algorithms to solve complex business problems then this is the group for you!
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