Senior ML Engineer - Production-Scale AI

Capital One; Plano (TX); On-site; USD 147,000 - 168,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer 3 in Plano, TX, to design, build, and deploy ML models within cross-functional teams. You’ll work on scalable data pipelines, model training, and production monitoring, leveraging cloud platforms and containerized services.

Strong software practices and Responsible AI take center stage. Requirements include 3+ years in Python/Java/C++, 2+ years with PyTorch or TensorFlow, and 3+ years handling large distributed systems.

Qualifications

• Bachelor’s degree or higher in CS/ML or related field.
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Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams
• Inform ML infrastructure decisions including model choice, data, feature selection, model training, hyperparameters, and validation
• Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment
• Collaborate in cross-functional Agile teams to create and enhance software for big data and ML apps
• Retrain, maintain, and monitor models in production
• Leverage cloud-based architectures to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Apply CI/CD, test automation and monitoring for ML deployments
• Ensure code is governed with responsible and explainable AI practices
• Use programming languages like Python, Scala, or Java

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Scikit-learn

Pandas

NumPy

Education

Bachelor’s degree or higher in CS/ML related field

Master’s or Doctoral degree preferred

Tools

Spark

Ray

Kubernetes

AWS

GCP

Azure

Job description

Capital One is seeking a Machine Learning Engineer 3 in Plano, TX, to design, build, and deploy ML models within cross-functional teams. You’ll work on scalable data pipelines, model training, and production monitoring, leveraging cloud platforms and containerized services.

Strong software practices and Responsible AI take center stage. Requirements include 3+ years in Python/Java/C++, 2+ years with PyTorch or TensorFlow, and 3+ years handling large distributed systems.