Lead ML Engineer: Architect Scalable Production AI

Capital One; Richmond (VA); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will design, develop, and deploy ML models and infrastructure, collaborate with Data Science and Product teams, and ensure models run reliably in cloud-based, scalable environments.

You will lead data pipeline construction, model retraining, monitoring, and governance, using Python, Scala, or Java in a high-availability setting.

Qualifications

• Bachelor’s Degree in a relevant field.
• 6+ years of experience designing data-intensive solutions using distributed computing.
• 4+ years of experience programming with Python, Scala, or Java.
• 2+ years of experience 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, model choice, data and feature selection, training and validation.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate in an Agile team to create software for state-of-the-art big data and ML apps.
• Retrain, maintain, and monitor models in production.
• Leverage cloud-based architectures to deliver optimized ML models at scale.

Skills

Python

Scala

Java

Distributed computing

CI/CD

Cloud platforms

Education

Bachelor's degree

Master's degree

Tools

scikit-learn

PyTorch

Spark

TensorFlow

Dask

Job description

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will design, develop, and deploy ML models and infrastructure, collaborate with Data Science and Product teams, and ensure models run reliably in cloud-based, scalable environments.

You will lead data pipeline construction, model retraining, monitoring, and governance, using Python, Scala, or Java in a high-availability setting.