Lead ML Engineer: Scalable AI Pipelines (Python/Go/AWS)

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

Benefits offered by this job

Health benefits

Financial benefits

Job summary

Capital One is seeking a Lead Machine Learning Engineer to design, build, and productionize ML models at scale in a fast-paced, Agile environment in New York, NY.

You will lead cross-functional efforts with Product and Data Science teams, develop data pipelines, and ensure compliant, reliable model deployments using Python, Scala, Java, and cloud technologies. The role emphasizes performance, scale, and responsible AI practices.

Qualifications

• 6+ years designing and building data‑intense solutions using distributed computing.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions including data, features, model choice, and validation.
• Write, test, validate, and deploy ML models and application code.
• Collaborate in a cross-functional Agile team to create state-of-the-art big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud architectures and platforms to deliver optimized ML models at scale.

Skills

Distributed computing

Team collaboration

CI/CD

Big data

Education

Master's/PhD in CS/EE/Math

Tools

Python

Scala

Java

Job description

Capital One is seeking a Lead Machine Learning Engineer to design, build, and productionize ML models at scale in a fast-paced, Agile environment in New York, NY.

You will lead cross-functional efforts with Product and Data Science teams, develop data pipelines, and ensure compliant, reliable model deployments using Python, Scala, Java, and cloud technologies. The role emphasizes performance, scale, and responsible AI practices.