Lead ML Engineer — Scalable Production AI

Capital One National Association; McLean (VA); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join the Intelligent Foundations and Experiences (IFX) team. You will design and productionize ML models and data pipelines, collaborate with Product, Data Science, and DevOps to deliver scalable solutions, and ensure reliability and performance of ML applications.

You''ll work across cloud architectures, CI/CD, and risk governance while writing code in Python/Scala/Java.

Qualifications

• Bachelor’s degree required.
• 6+ years designing data-intensive solutions with distributed computing.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions including model selection, data, and features.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate in an Agile cross-functional team to enable scalable big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud architectures and CI/CD to deploy ML models and code.

Skills

Python

Scala

Java

ML modeling

Education

Bachelor's Degree

Master's or Doctoral Degree

Tools

scikit-learn

PyTorch

Spark

TensorFlow

Job description

Capital One is seeking a Lead Machine Learning Engineer to join the Intelligent Foundations and Experiences (IFX) team. You will design and productionize ML models and data pipelines, collaborate with Product, Data Science, and DevOps to deliver scalable solutions, and ensure reliability and performance of ML applications.

You''ll work across cloud architectures, CI/CD, and risk governance while writing code in Python/Scala/Java.