Senior MLOps & AI Platform Lead

Capital One National Association

McLean (VA)

On-site

USD 197,000 - 225,000

Full time

14 days+

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Job summary

Capital One leads a challenging Lead Software Engineer - MLOps role in McLean, VA, focused on building scalable ML infrastructure and productionizing data pipelines. You will mentor developers and drive Agile practices while bridging software engineering, cloud infrastructure, and machine learning.

The position requires strong Python/Java/Scala coding, cloud experience (AWS), and hands-on leadership in high-stakes ML systems development.

Qualifications

Bachelor’s degree in a related field is required.
Experience with Python/Scala/Java and at least 1 year cloud computing (AWS/Azure/GCP).
2+ years building, scaling ML systems and data pipelines.
Preferred: Master's degree and 4+ years building production ML pipelines.

Responsibilities

Lead a portfolio of software and MLOps projects, mentoring developers and driving Agile practices.
Own end-to-end ML lifecycle from research models to production deployment.
Design and optimize automated data pipelines, model serving platforms, and monitoring.
Write performant code in Python (and Java/Scala) with strong engineering practices.
Guide cross-functional rollout, balance hands-on work with technical leadership.
Leverage AWS, Docker/Kubernetes, PyTorch, TensorFlow, Spark for enterprise ML platforms.