Senior Machine Learning Engineer - Production & Cloud

Capital One; McLean (VA); Presencial; USD 162.000 - 185.000; Jornada completa

Descripción de la vacante

Capital One in McLean, VA seeks a Machine Learning Engineer to design, build, and productionalize ML models at scale. You will collaborate with product, data science, and operations to deploy reliable ML solutions and data pipelines.

The role requires strong Python/Java/C++ programming, PyTorch/TensorFlow expertise, and hands-on distributed systems experience with Spark, Kubernetes in AWS/GCP/Azure environments. You will retrain, monitor, and govern models in production.

Formación

• Bachelor's degree in Computer Science or a related quantitative field.
• 3+ years programming in Python, Java, Golang, or C++.
• 2+ years ML experience with PyTorch/TensorFlow and libraries.

Responsabilidades

• Design, build, and deliver ML models and components with Product/Data Science teams.
• Inform infrastructure decisions for ML modeling, training, validation, and deployment.
• Develop data pipelines and production ML workflows on cloud platforms.
• Retrain, monitor, and govern models in production with CI/CD practices.
• Collaborate in an Agile cross-functional team to enable scalable ML applications.

Conocimientos

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

AWS

GCP

Azure

Educación

Bachelor's degree in Computer Science or related field

Herramientas

Spark

Kubernetes

Docker

Cloud (AWS/GCP/Azure)

Descripción del empleo

Capital One in McLean, VA seeks a Machine Learning Engineer to design, build, and productionalize ML models at scale. You will collaborate with product, data science, and operations to deploy reliable ML solutions and data pipelines.

The role requires strong Python/Java/C++ programming, PyTorch/TensorFlow expertise, and hands-on distributed systems experience with Spark, Kubernetes in AWS/GCP/Azure environments. You will retrain, monitor, and govern models in production.