Senior ML Engineer - Production-Scale AI Systems

Capital One

Chicago (IL)

On-site

USD 179,000 - 205,000

Full time

6 days ago
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Job summary

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will spearhead ML architectural design, review model and application code, and ensure high availability and performance of ML systems.

The role collaborates with Ops, Modeling, and Data Engineering teams to deliver state-of-the-art data analytics solutions. The position requires strong Python/Scala/Java skills, experience with distributed computing, and a track

Qualifications

  • Bachelor's degree required; multiple years of data-intensive solution design in distributed systems.
  • 4+ years programming in 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 model choice, data and feature selection, training, and validation.
  • Develop, test, and deploy ML models and application code with automated tests and CI/CD.
  • Collaborate in a cross-functional Agile team to enable state-of-the-art big data and ML applications.
  • Retrain, monitor, and maintain models in production.
  • Leverage cloud architectures and platforms to deploy ML models at scale.
  • Build data pipelines to feed ML models and ensure data quality.

Skills

Python
Scala
Java
Distributed computing
ML pipelines
Cloud platforms
CI/CD
Responsible AI

Education

Bachelor's Degree

Job description

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale. You will spearhead ML architectural design, review model and application code, and ensure high availability and performance of ML systems.

The role collaborates with Ops, Modeling, and Data Engineering teams to deliver state-of-the-art data analytics solutions. The position requires strong Python/Scala/Java skills, experience with distributed computing, and a track

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