Machine Learning Engineer 4 (Python, AWS, SQL, GenAI) (Enterprise Platforms Technology)
Core
Design, build, and deliver production ML models and components to solve complex business problems in marketing and messaging, scaling AI transformations across Capital One's enterprise platforms.
Role type
Senior Machine Learning Engineer (Production/Infrastructure)
Builds
Scalable cloud-based ML architectures, optimized data pipelines, and production-ready ML models for omnichannel marketing experiences.
Domain
Financial Services / Marketing Technology / Generative AI
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, CI/CD, model monitoring, data pipeline construction, distributed systems, software engineering best practices
Preferred skills
Reinforcement learning, Transformer architectures, model optimization, technical leadership, incident response planning, academic publication
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, Python, Scala, Java
Responsibilities
Design and deploy ML models for real-world business problems; maintain and monitor models in production; construct optimized data pipelines; leverage cloud architectures to scale ML; ensure code quality and model governance; collaborate in cross-functional Agile teams.
Seniority
Senior, hands-on IC
