Senior ML Engineer - Production-Scale AI Architect

Capital One National Association; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One in New York seeks a Lead Machine Learning Engineer to productionize ML applications at scale. You will design and implement ML components, build scalable data pipelines, and ensure high availability and performance of ML systems.

Collaborate with Product and Data Science teams in Agile sprints, applying best practices in Responsible AI and leveraging Python/Scala/Java across cloud platforms. You’ll mentor others, monitor models in production, and drive automated testing and

Qualifications

• Bachelor’s Degree required.
• 6+ years designing and building data-intensive solutions using distributed computing (Internship experience does not apply).
• At least 4 years programming with Python, Scala, or Java.
• At least 2 years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components that solve real-world business problems in collaboration with Product and Data Science teams.
• Inform ML infrastructure decisions with ML modeling techniques, data, feature selection, and validation.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate in an Agile cross-functional team to create software for state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage/build cloud-based architectures to deliver optimized ML models at scale.
• Construct optimized data pipelines to feed ML models.
• Use CI/CD, test automation, and monitoring to ensure successful deployment of ML models and code.
• Ensure code quality, governance, and Responsible/Explainable AI practices.
• Use Python, Scala, or Java for development.

Skills

ML model design

ML infrastructure

Cross-functional teamwork

Model deployment

Cloud architectures

Data pipelines

CI/CD & testing

Explainable AI

Python/Scala/Java

Model retraining

Monitoring & security

Education

Bachelor’s Degree

Job description

Capital One in New York seeks a Lead Machine Learning Engineer to productionize ML applications at scale. You will design and implement ML components, build scalable data pipelines, and ensure high availability and performance of ML systems.

Collaborate with Product and Data Science teams in Agile sprints, applying best practices in Responsible AI and leveraging Python/Scala/Java across cloud platforms. You’ll mentor others, monitor models in production, and drive automated testing and