Senior ML Engineering Lead: AI at Scale

ITSMF; McLean (VA); On-site; USD 230,000 - 262,000; Full time

Benefits offered by this job

Health benefits

Competitive compensation

401(k) matching

Performance bonuses

Job summary

Capital One is seeking a Senior Manager, Machine Learning Engineer to lead design, deployment, and scaling of production ML models in a fast-paced environment. You will collaborate with product and data science teams to deliver impactful ML solutions across platforms, with emphasis on scalable data pipelines, governance, and responsible AI practices.

The role requires deep expertise in Python/Java/C++, PyTorch or TensorFlow, and distributed systems (Spark/Ray), plus cloud experience (AWS, GCP,

Qualifications

• Bachelor's degree or higher in Computer Science, Machine Learning or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• At least 6 years of experience programming with Python, Java, Golang, or C++
• At least 6 years of Machine Learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn)
• At least 6 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data
• At least 4 years of experience deploying and operating Machine Learning solutions in production and operating production services in the cloud (AWS, GCP, Azure) and using Kubernetes to manage large scale containerized ML software systems

Responsibilities

• Design, build, and deliver ML models and components with Product and Data Science teams
• Scale multi-tenant platforms for large footprint ML training and serving
• Inform ML infrastructure decisions including model choice, data and feature selection, training and tuning
• Write and test application code, develop and validate ML models, and automate tests and deployment
• Collaborate in cross-functional Agile teams to enable state-of-the-art big data and ML apps
• Retrain, maintain, and monitor models in production
• Leverage cloud architectures to deliver optimized ML models at scale
• Construct optimized data pipelines to feed ML models
• Ensure code quality, governance, and Responsible/Explainable AI practices
• Use Python, Scala, or Java

Skills

Python

Java

Golang

C++

PyTorch

TensorFlow

Spark

Ray

Docker

Kubernetes

AWS

GCP

Azure

Education

Bachelor's degree or higher in CS/ML/ quantitative field

Tools

Spark

Ray

Docker

Kubernetes

Job description

Capital One is seeking a Senior Manager, Machine Learning Engineer to lead design, deployment, and scaling of production ML models in a fast-paced environment. You will collaborate with product and data science teams to deliver impactful ML solutions across platforms, with emphasis on scalable data pipelines, governance, and responsible AI practices.

The role requires deep expertise in Python/Java/C++, PyTorch or TensorFlow, and distributed systems (Spark/Ray), plus cloud experience (AWS, GCP,