Lead ML Platform & MLOps Engineer

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

Job summary

Capital One seeks a Lead Software Engineer to bridge software engineering, cloud infra, and ML. You will lead teams building scalable ML infrastructure, productionizing data pipelines, and driving a major tech transformation. You’ll write Python and Java/Scala, work with AWS, Docker/Kubernetes, PyTorch, TensorFlow, and Spark alongside data scientists.

Responsibilities include leading delivery, mentoring engineers, and coordinating cross-functional rollouts in a fast-paced environment.

Qualifications

• Bachelor’s Degree in a relevant field; Master’s preferred.
• 4+ years programming in Python, Java or Scala.
• 2+ years building and optimizing ML systems.
• 1+ year cloud experience (AWS/Azure/GC).
• Experience with ML tooling and data pipelines.

Responsibilities

• Lead a portfolio of software and MLOps projects with mentoring.
• Own end-to-end MLOps lifecycle from research to production.
• Design and optimize data pipelines and model serving platforms.
• Write performant code in Python, with Java/Scala as a secondary stack.
• Provide technical delivery leadership and cross-functional coordination.
• Harness AWS, Docker/Kubernetes, PyTorch, TensorFlow, Spark for ML platforms.

Skills

Python

Java

Scala

MLOps

AWS

Azure

Google Cloud

PyTorch

TensorFlow

Spark

Education

Bachelor's degree

Master's degree

Tools

Docker

Kubernetes

Job description

Capital One seeks a Lead Software Engineer to bridge software engineering, cloud infra, and ML. You will lead teams building scalable ML infrastructure, productionizing data pipelines, and driving a major tech transformation. You’ll write Python and Java/Scala, work with AWS, Docker/Kubernetes, PyTorch, TensorFlow, and Spark alongside data scientists.

Responsibilities include leading delivery, mentoring engineers, and coordinating cross-functional rollouts in a fast-paced environment.