Senior ML Engineer — Production-Scale AI Solutions

Capital One Group; McLean (VA); Hybrid; USD 197,000 - 225,000; Full time

Job summary

Capital One in McLean, VA is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models in collaboration with Product and Data Science teams. You will construct data pipelines, validate models, and monitor production systems to meet real business needs.

Required qualifications include a Bachelor's in CS/ML or related field and 4+ years of Python/Java/C++ programming, plus 4+ years with PyTorch or TensorFlow and Spark/Ray for large-scale data processing.

Qualifications

• Bachelor's degree in Computer Science, Machine Learning or a related quantitative field is required.
• At least 4 years of experience programming with Python, Java, Golang, or C++.
• At least 4 years of Machine Learning experience using PyTorch or TensorFlow and libraries (Pandas, NumPy, Scikit-learn).
• At least 4 years of experience using and operating large scale distributed systems (Spark, Ray) to prepare AI/ML data.
• At least 2 years of experience deploying and operating ML 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 solving real-world business problems with Product and Data Science teams.
• Inform ML infrastructure decisions including model choice, data, feature selection, and validation.
• Retrain, maintain, and monitor models in production and ensure governance and explainability.

Skills

Python/Java/Golang/C++

Education

Bachelor's degree in CS/ML or related

Tools

PyTorch

TensorFlow

Pandas/NumPy/Scikit-learn

Spark/Ray

Kubernetes

AWS/GCP/Azure

Job description

Capital One in McLean, VA is seeking a Machine Learning Engineer to design, build, and deploy scalable ML models in collaboration with Product and Data Science teams. You will construct data pipelines, validate models, and monitor production systems to meet real business needs.

Required qualifications include a Bachelor's in CS/ML or related field and 4+ years of Python/Java/C++ programming, plus 4+ years with PyTorch or TensorFlow and Spark/Ray for large-scale data processing.