Senior ML Engineer — Production-Scale AI

Capital One; New York (NY); On-site; USD 177,000 - 201,000; Full time

Job summary

Capital One in New York, NY is seeking a Machine Learning Engineer 3 who loves building AI powered solutions and solving real business problems. You will work with product, data science, and ops teams to design and deploy scalable ML models in production.

You will develop data pipelines, tune models, monitor performance, and ensure governance and responsible AI. Proficiency with Python or Java, cloud platforms, and containerized deployments will help you thrive in an Agile environment.

Qualifications

• Bachelor's Degree or higher in Computer Science, ML or related quantitative field.
• 3+ years programming in Python, Java, Golang, or C++.
• 2+ years ML experience with PyTorch or TensorFlow.
• 3+ years experience with large-scale distributed systems (Spark, Ray).
• 1+ year deploying ML solutions in production and cloud (AWS/GCP/Azure) with Kubernetes.
• Experience with ML pipelines and model monitoring.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform infrastructure decisions using modeling techniques, data, and feature selection.
• Solve complex problems by writing application code, testing/validating ML models, and automating deployment.
• Collaborate in a cross-functional Agile team to enable state-of-the-art ML applications.
• Retrain, maintain, and monitor models in production.
• Leverage cloud architectures to deliver ML models at scale and construct data pipelines.
• Use CI/CD, testing, and monitoring to ensure successful deployment and governance.
• Ensure code is well-governed and follows Responsible/Explainable AI practices.
• Use Python, Scala, or Java for development.

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Education

Bachelor's degree in Computer Science or related field

Master's or Doctoral degree (preferred)

Tools

Spark

Ray

Kubernetes

Job description

Capital One in New York, NY is seeking a Machine Learning Engineer 3 who loves building AI powered solutions and solving real business problems. You will work with product, data science, and ops teams to design and deploy scalable ML models in production.

You will develop data pipelines, tune models, monitor performance, and ensure governance and responsible AI. Proficiency with Python or Java, cloud platforms, and containerized deployments will help you thrive in an Agile environment.