Senior ML Engineer: Scalable Production AI (Python/AWS)

Capital One; Plano (TX); On-site; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale in Plano, TX. The role emphasizes designing ML architectures, developing model code, and ensuring high availability and performance of ML systems.

The candidate will work with Python/Scala/Java, participate in end-to-end ML pipelines, and contribute to responsible AI practices while leveraging cloud platforms for scalable solutions.

Qualifications

• Bachelor’s Degree required; 6+ years designing and building data-intensive solutions using distributed computing.
• 4+ years programming with Python, Scala, or Java.
• 2+ years building, scaling, and optimizing ML systems.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

Responsibilities

• Design, build, and/or deliver ML models and components in collaboration with Product and Data Science teams.
• Inform ML infrastructure decisions including model choice, data, and feature selection.
• Write and test application code, develop and validate ML models, and automate tests and deployment.
• Collaborate within an Agile team to create software for big data and ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud-based architectures to deliver optimized ML models at scale.

Skills

Distributed computing

Python

Scala

Java

ML systems

Education

Bachelor's Degree

Master's or Doctoral Degree

Tools

scikit-learn

PyTorch

Dask

Spark

TensorFlow

Job description

Capital One is seeking a Lead Machine Learning Engineer to join an Agile team focused on productionizing ML applications at scale in Plano, TX. The role emphasizes designing ML architectures, developing model code, and ensuring high availability and performance of ML systems.

The candidate will work with Python/Scala/Java, participate in end-to-end ML pipelines, and contribute to responsible AI practices while leveraging cloud platforms for scalable solutions.