Lead MLOps & Full-Stack Engineer for Scalable AI Infra

Capital One; North Dakota; On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking a Lead Software Engineer specializing in MLOps to bridge software engineering, cloud infrastructure, and AI-driven decisions. You will lead engineering teams to build scalable ML infrastructure, productionize data pipelines, and drive a major technology transformation.

The role emphasizes hands-on coding (Python with Java/Scala), data pipelines, model deployment, and collaboration with product management in an Agile environment.

Qualifications

• Bachelor's Degree in a relevant field.
• 4+ years of experience in Python/Scala/Java.
• 1+ year of cloud computing (AWS/Azure/GCP).
• 2+ years of building ML systems.

Responsibilities

• Lead a portfolio of software and MLOps projects, mentoring developers and driving Agile practices.
• Own the end-to-end MLOps lifecycle from model research to production deployment.
• Design, build and optimize automated data pipelines and model serving platforms.
• Write performant, maintainable code with Python and Java/Scala, focusing on security and resiliency.
• Balance hands-on development with technical delivery leadership across teams.
• Harness AWS, Docker/Kubernetes, PyTorch/TensorFlow for enterprise ML platforms.

Skills

Python

Scala

Java

Agile practices

Leadership

Mentoring

Cloud engineering

Education

Bachelor's Degree

Master's Degree

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

PyTorch

TensorFlow

Spark

scikit-learn

Job description

Capital One is seeking a Lead Software Engineer specializing in MLOps to bridge software engineering, cloud infrastructure, and AI-driven decisions. You will lead engineering teams to build scalable ML infrastructure, productionize data pipelines, and drive a major technology transformation.

The role emphasizes hands-on coding (Python with Java/Scala), data pipelines, model deployment, and collaboration with product management in an Agile environment.