Senior Machine Learning Engineer – Scale Production AI

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

Job summary

Capital One is seeking a Machine Learning Engineer 4 to design, build, and scale ML models in production, collaborating with Product and Data Science teams in McLean, VA.

You will deploy ML pipelines, leverage cloud platforms (AWS/GCP/Azure), practice CI/CD and MLOps, and ensure models are robust, explainable, and well-governed.

Join a collaborative, fast-paced team focused on transforming business problems into scalable AI solutions with strong governance and reliability.

Qualifications

• Bachelor's degree or higher in Computer Science, ML or related quantitative field.
• At least 4 years of experience programming with Python, Java, Golang or C++.
• At least 4 years of Machine Learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn)
• At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data.
• At least 2 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions including 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 a cross-functional Agile team to enable state-of-the-art big data and ML apps.
• Retrain, maintain, and monitor models in production.
• Leverage or build cloud-based architectures and platforms for scalable ML models.
• Construct optimized data pipelines to feed ML models.
• Use CI/CD, test automation, and monitoring to ensure successful deployments.
• Ensure code quality, model governance, and responsible/Explainable AI practices.
• Use Python, Java, or similar languages.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

CI/CD

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Git

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer 4 to design, build, and scale ML models in production, collaborating with Product and Data Science teams in McLean, VA.

You will deploy ML pipelines, leverage cloud platforms (AWS/GCP/Azure), practice CI/CD and MLOps, and ensure models are robust, explainable, and well-governed.

Join a collaborative, fast-paced team focused on transforming business problems into scalable AI solutions with strong governance and reliability.