Lead ML Engineer - Python/AWS for GenAI at Scale

Capital One; McLean (VA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join the Enterprise Platforms Technology group in McLean, VA. You will design, build, and productionize ML models and data pipelines, collaborating with Product and Data Science teams to deliver scalable AI solutions.

Required 6+ years in data-intensive distributed environments and 4+ years in Python/Scala/Java, with hands-on ML deployment experience on cloud platforms like AWS.

Qualifications

• Bachelor's degree in a technical field; Master’s/PhD preferred.
• 6+ years designing and building data-intensive solutions with distributed computing.
• 4+ years programming in 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: data, features, modeling techniques, validation.
• Write/test code, validate ML models, automate tests and deployment.
• Collaborate in an Agile team to enable state-of-the-art big data and ML apps.
• Retrain, monitor, and maintain models in production.
• Leverage cloud architectures to deploy optimized ML models at scale.
• Create data pipelines feeding ML models and ensure CI/CD, monitoring.
• Maintain secure, governable models following Responsible and Explainable AI practices.
• Use Python, Scala, or Java for development.

Skills

Python

Scala

Java

Distributed computing

Machine learning

AWS

SQL

Model deployment

CI/CD

Education

Bachelor's Degree

Master's/PhD preferred

Tools

scikit-learn

PyTorch

TensorFlow

Spark

Dask

AWS

Job description

Capital One is seeking a Lead Machine Learning Engineer to join the Enterprise Platforms Technology group in McLean, VA. You will design, build, and productionize ML models and data pipelines, collaborating with Product and Data Science teams to deliver scalable AI solutions.

Required 6+ years in data-intensive distributed environments and 4+ years in Python/Scala/Java, with hands-on ML deployment experience on cloud platforms like AWS.