Senior ML Engineer: Build & Scale Production Models

Capital One Financial Corporation; McLean (VA); On-site; USD 162,000 - 185,000; Full time

Job summary

Capital One seeks an experienced Senior Machine Learning Engineer in McLean, VA to design, build, and productionize machine learning applications at scale. You will work in an Agile team to deliver end-to-end ML solutions, retrain and monitor models in production, and ensure governance and responsible AI practices.

You will use Python, Scala, or Java, and leverage cloud platforms and data pipelines to deliver optimized ML models with a focus on reliability and performance.

Qualifications

• Bachelor’s degree required.
• 4+ years programming in Python, Scala or Java.
• 3+ years designing and building data-intensive solutions with distributed computing.
• 2+ years on-the-job with ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow).
• 1+ year productionizing, monitoring, and maintaining models.

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams.
• Inform ML infrastructure decisions around models, data, and features; training and validation.
• Write and test application code, develop/validate ML models, and automate tests/deployment.
• Collaborate in a cross-functional Agile team to enable state-of-the-art ML apps.
• Retrain, maintain, and monitor models in production; ensure CI/CD and monitoring practices.
• Leverage cloud architectures and data pipelines to feed ML models; monitor performance.
• Ensure code governance, responsible and explainable AI practices; use Python, Scala, or Java.

Skills

Python

Scala

Java

Agile methodologies

Education

Bachelor’s Degree

Tools

PyTorch

TensorFlow

Scikit-learn

Spark

Dask

Job description

Capital One seeks an experienced Senior Machine Learning Engineer in McLean, VA to design, build, and productionize machine learning applications at scale. You will work in an Agile team to deliver end-to-end ML solutions, retrain and monitor models in production, and ensure governance and responsible AI practices.

You will use Python, Scala, or Java, and leverage cloud platforms and data pipelines to deliver optimized ML models with a focus on reliability and performance.