Lead Machine Learning Engineer (Enterprise Platforms Technology)

Lead Machine Learning Engineer (Enterprise Platforms Technology) at Capital One

• Design, build, and/or deliver ML models and components that solve real-world business problems
• Inform ML infrastructure decisions using your understanding of ML modeling techniques and issues
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications
• Retrain, maintain, and monitor models in production
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code
• Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI

• Bachelor’s degree
• At least 6 years of experience designing and building data-intensive solutions using distributed computing
• At least 4 years of experience programming with Python, Scala, or Java
• At least 2 years of experience building, scaling, and optimizing ML systems

• 401k matching
• Health insurance
• Flight privileges
• Long-term incentives (LTI)
• Responsible and Explainable AI practices

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