Lead ML Engineer - Production-Scale AI & Cloud

Capital One Group

Plano, Northern (TX, KY)

Hybrid

USD 179,000 - 205,000

Full time

10 days ago

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Job summary

Capital One is hiring a Lead Machine Learning Engineer in Plano, TX to design, deploy, and monitor ML models at scale within the Dealer Tech division of Financial Services Technology. The role emphasizes productionizing ML applications, data pipelines, and collaboration with Product and Data Science teams.

The ideal candidate has 6+ years in data-intensive solution design, 4+ years with Python/Scala/Java, and experience in ML frameworks and cloud deployment.

Qualifications

  • Bachelor’s Degree required; 6+ years designing data-intensive solutions
  • 4+ years programming Python/Scala/Java
  • 2+ years building and scaling ML systems
  • Experience with distributed computing frameworks and pipelines

Responsibilities

  • Design, build, and deliver ML models with Product and Data Science teams
  • Inform ML infrastructure decisions: data, features, model training, validation
  • Write and test production code; automate tests and deployment
  • Collaborate in a cross-functional Agile team for data pipelines and ML apps
  • Retrain, maintain, and monitor models in production
  • Leverage cloud architectures to deliver ML models at scale
  • Construct optimized data pipelines for ML models
  • Apply CI/CD and monitoring for model/code deployment
  • Ensure governance and responsible AI practices

Skills

Distributed computing
Python
Scala
Java
ML model deployment
Cross-functional collaboration

Education

Bachelor's Degree
Master's/Doctoral preferred

Tools

scikit-learn
PyTorch
Spark
TensorFlow
Dask

Job description

Capital One is hiring a Lead Machine Learning Engineer in Plano, TX to design, deploy, and monitor ML models at scale within the Dealer Tech division of Financial Services Technology. The role emphasizes productionizing ML applications, data pipelines, and collaboration with Product and Data Science teams.

The ideal candidate has 6+ years in data-intensive solution design, 4+ years with Python/Scala/Java, and experience in ML frameworks and cloud deployment.

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