Senior ML Engineer: Build Production-Scale AI Systems

Capital One; Richmond (VA); On-site; USD 144,200 - 164,600; Full time

Benefits offered by this job

Comprehensive health benefits

Performance-based incentives

Inclusive work environment

Job summary

A leading financial services company is seeking a Senior Machine Learning Engineer to join their Agile team in Richmond, VA. This individual will focus on productionizing machine learning applications and systems, developing and reviewing model and application code, and ensuring high performance of ML applications. The ideal candidate should have a strong background in programming languages like Python, Scala, or Java, along with experience in ML frameworks. This full-time position offers competitive compensation and a robust benefits package.

Qualifications

• At least 4 years of experience programming with Python, Scala, or Java.
• At least 3 years of experience designing and building data-intensive solutions.
• At least 2 years of experience with recognized ML frameworks.
• At least 1 year productionizing and maintaining models.

Responsibilities

• Design and deliver ML models and components for business problems.
• Collaborate with Product and Data Science teams.
• Develop and validate ML models and automate deployment.
• Monitor and retrain models in production.

Skills

Programming with Python

Programming with Scala

Programming with Java

Machine Learning frameworks (scikit-learn, PyTorch, etc.)

Data-intensive solutions design

Education

Bachelor’s degree

Tools

AWS

Azure

Google Cloud Platform

Distributed file systems

Job description

A leading financial services company is seeking a Senior Machine Learning Engineer to join their Agile team in Richmond, VA. This individual will focus on productionizing machine learning applications and systems, developing and reviewing model and application code, and ensuring high performance of ML applications. The ideal candidate should have a strong background in programming languages like Python, Scala, or Java, along with experience in ML frameworks. This full-time position offers competitive compensation and a robust benefits package.