Machine Learning Engineer 4
Core
Design, build, and deploy production ML models and data pipelines to solve complex business problems in risk management, preventing risks and detecting issues before they impact customers.
Role type
Senior IC Machine Learning Engineer (Risk Tech)
Builds
Proprietary AI-powered risk management solutions and optimized data pipelines for Capital One
Domain
Financial Services / Risk Management / Machine Learning
Deliverable
production ML models
Required skills
Python, Java, Golang, C++, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Ray, AWS, GCP, Azure, Kubernetes, CI/CD, model training, hyperparameter tuning, dimensionality reduction, bias/variance analysis, model monitoring, cloud architecture, data pipeline construction
Preferred skills
Master's or doctoral degree, ML algorithm optimization, software development best practices, resilient software design, advanced deployment techniques, technical leadership, academic publication
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and build ML models and components for real-world business problems; Inform ML infrastructure decisions regarding model choice, data, and feature selection; Write and test application code to develop and validate ML models; Collaborate in cross-functional Agile teams to create big data and ML applications; Retrain, maintain, and monitor models in production; Leverage cloud-based architectures to deliver optimized ML models at scale; Construct optimized data pipelines to feed ML models; Ensure code management, model governance, and Responsible AI best practices
Seniority
Senior, hands-on IC
