Machine Learning Engineer 4 (IC)

Sourced from capitalonecareers.com

Capital One is seeking a Machine Learning Engineer 4 (IC) to design, build, and deploy ML models and components that solve real-world business problems. The role involves collaborating with Product and Data Science teams, leveraging cloud-based architectures, and ensuring models are production-ready and well-governed. This is a senior individual contributor position based in San Jose, CA, with a focus on scaling production models and driving AI transformations.

• Design, build, and deliver ML models and components that solve real-world business problems
• Inform ML infrastructure decisions using 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 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
• Ensure code is well-managed to reduce vulnerabilities and models are well-governed from a risk perspective