Machine Learning Engineer 4
Core
Design, build, and deliver production ML models and components to solve real-world business problems, scaling AI transformations across Capital One.
Role type
Senior Machine Learning Engineer (Production & Infrastructure)
Builds
Production ML models, optimized data pipelines, and cloud-based ML architectures
Domain
Financial Services / Machine Learning / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, Kubernetes, AWS, GCP, Azure, CI/CD, Model Training, Hyperparameter Tuning, Model Monitoring, Data Pipeline Construction
Preferred skills
Algorithm Optimization, Software Development Best Practices, Advanced Deployment Techniques, Technical Leadership, ML Research Publication
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and build ML models solving business problems; Inform ML infrastructure decisions; Write and test application code; Collaborate in cross-functional Agile teams; Retrain and monitor production models; Build cloud-based architectures; Construct optimized data pipelines; Ensure code management and model governance.
Seniority
Senior, hands-on IC
