Senior ML Engineer to Scale Production Models (IC)

Capital One; California; Presencial; USD 251.000 - 286.000; Jornada completa

Descripción de la vacante

Capital One is seeking a Machine Learning Engineer 5 to design, build, and deploy scalable ML models and components that solve real business problems. You will work with product and data science teams to deliver end-to-end ML solutions, train and monitor models in production, and ensure responsible AI practices across cloud-based platforms.

You will leverage Python/Java/Golang, PyTorch or TensorFlow, and large-scale distributed systems (Spark/Ray).

Formación

• Bachelor's degree in CS or a related quantitative field required.
• 6+ years of programming experience in Python, Java, Golang or C++.
• 6+ years of ML experience with PyTorch or TensorFlow in production environments.
• Experience building and operating large-scale distributed data/ML systems (Spark, Ray).
• Clouds and containerization: AWS/GCP/Azure; Kubernetes deployment.

Responsabilidades

• Design, build, and deliver ML models and components for real-world business problems.
• Scale multi-tenant platforms for training and serving ML models at scale.
• Collaborate with Product and Data Science teams in an Agile setup.
• Retrain, monitor, and maintain models in production; ensure responsible AI practices.

Conocimientos

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

AWS

GCP

Azure

Kubernetes

Distributed systems

CI/CD

Educación

Bachelor's degree in Computer Science or related quantitative field

Master's degree preferred

Herramientas

Spark

Ray

Kubernetes

Docker

Descripción del empleo

Capital One is seeking a Machine Learning Engineer 5 to design, build, and deploy scalable ML models and components that solve real business problems. You will work with product and data science teams to deliver end-to-end ML solutions, train and monitor models in production, and ensure responsible AI practices across cloud-based platforms.

You will leverage Python/Java/Golang, PyTorch or TensorFlow, and large-scale distributed systems (Spark/Ray).