Senior ML Engineer: AI Risk & Production at Scale

Information Technology Senior Management Forum

McLean (VA)

On-site

USD 230,000 - 262,000

Full time

4 days ago

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Job summary

Capital One's Risk Tech team is seeking a Machine Learning Engineer 5 (Senior Manager, IC) to design, build, and scale production ML models for risk management, collaborating with Product, Data Science, and Ops to deploy AI solutions that detect issues before they impact customers and the business.

This role emphasizes large-scale distributed systems, cloud deployment (AWS/GCP/Azure), CI/CD, and responsible AI practices.

Qualifications

Bachelor's or higher in CS/ML or related field.
6+ years programming in Python, Java, Golang, or C++.
6+ years ML with PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
6+ years operating large-scale distributed systems (Spark, Ray).
4+ years deploying ML in production and cloud with Kubernetes.

Responsibilities

Design, build, and deliver ML models and components solving real-world problems with Product and Data Science teams.
Build and scale large multi-tenant platforms for training and serving ML models.
Inform ML infrastructure decisions: data, features, training, and validation.
Write production-grade code, validate models, and automate tests/deployments.
Collaborate in a cross-functional Agile team to build state-of-the-art big data and ML apps.
Retrain, monitor, and maintain models in production; ensure governance and responsible AI.