Senior Machine Learning Engineer - Production ML & AI

Capital One Group; Northern, New York (KY, NY); Hybrid; USD 215,000 - 246,000; Full time

Job summary

Capital One is seeking Machine Learning Engineers who are passionate about leveraging cutting-edge frameworks to scale production models and drive AI transformations. The role involves designing, building, and deploying ML models, maintaining ML infrastructure, and collaborating with Product/Data Science teams in an Agile environment.

Cloud and Kubernetes experience required; strong coding in Python/Java/C++.

Qualifications

• Bachelor's degree in Computer Science or related quantitative field.
• 4+ years programming with Python/Java/Golang/C++.
• 4+ years ML experience using PyTorch or TensorFlow.
• 4+ years operating large-scale distributed systems (Spark, Ray).
• 2+ years deploying ML solutions in production in the cloud (AWS/GCP/Azure) and using Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components for real-world problems.
• Inform ML infrastructure decisions including data, model choice, and validation.
• Write and test application code, train models, and automate tests/deployments.
• Collaborate in an Agile team to enable big data and ML apps.
• Retrain, monitor, and maintain models in production; ensure governance and security.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

AWS

GCP

Azure

Kubernetes

Education

Bachelor's degree in Computer Science or related field

Tools

PyTorch

TensorFlow

Spark

Ray

Job description

Capital One is seeking Machine Learning Engineers who are passionate about leveraging cutting-edge frameworks to scale production models and drive AI transformations. The role involves designing, building, and deploying ML models, maintaining ML infrastructure, and collaborating with Product/Data Science teams in an Agile environment.

Cloud and Kubernetes experience required; strong coding in Python/Java/C++.