Senior ML Engineer: Production AI & Cloud Systems

Capital One; Chicago, Northern (IL, KY); Hybrid; USD 179,000 - 205,000; Full time

Job summary

Capital One is seeking a Machine Learning Engineer to design, develop, and productionize ML models at scale. You will work with product and data science teams, building end-to-end solutions from data pipelines to model serving. Strong emphasis on ML infrastructure, governance, and cloud-native deployment in an Agile environment.

You will contribute across design, training, validation, deployment, and monitoring, ensuring robust, scalable, and responsible AI practices across Capital One systems.

Qualifications

• Bachelor's degree in Computer Science, ML or related field.
• 4+ years programming with Python/Java/Golang/C++.
• 4+ years ML experience with PyTorch or TensorFlow.
• 4+ years operating large-scale distributed systems (Spark, Ray).
• 2+ years deploying ML in production on cloud (AWS/GCP/Azure) with Kubernetes.

Responsibilities

• Design, build, and deliver ML models and components solving real-world problems.
• Inform ML infrastructure decisions including data, features, model choice, and validation.
• Retrain, maintain, and monitor models in production.
• Collaborate in a cross-functional Agile team to deliver scalable ML apps.
• Ensure code quality, governance, and responsible AI practices.

Skills

Python/Java/Golang/C++

ML frameworks

Education

Bachelor's degree in CS/ML or related

Tools

PyTorch

TensorFlow

Pandas

NumPy

Scikit-learn

Spark

Ray

Kubernetes

Job description

Capital One is seeking a Machine Learning Engineer to design, develop, and productionize ML models at scale. You will work with product and data science teams, building end-to-end solutions from data pipelines to model serving. Strong emphasis on ML infrastructure, governance, and cloud-native deployment in an Agile environment.

You will contribute across design, training, validation, deployment, and monitoring, ensuring robust, scalable, and responsible AI practices across Capital One systems.