Senior Manager, Machine Learning Engineer
Core
Design, build, and scale massive multi-tenant platforms for training and serving large footprint ML models at scale to solve real-world business problems.
Role type
Senior Manager, Machine Learning Engineer (Production & Infrastructure)
Builds
Production-ready ML models, scalable training/serving platforms, and optimized data pipelines for Capital One.
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, Data Pipeline Construction, Model Monitoring, Responsible AI
Preferred skills
Master's or doctoral degree, ML algorithm optimization, Advanced deployment techniques (blue/green, gradual dial-up), Incident response planning, Reinforcement Learning, Transformers, RNNs, CNNs, LSTMs
Technologies
PyTorch, TensorFlow, Spark, Ray, Kubernetes, AWS, GCP, Azure
Responsibilities
Design and deliver ML models solving business problems; Build and scale multi-tenant platforms for ML training and serving; Inform infrastructure decisions on model choice, data, and features; Write code to develop, validate, and automate ML model deployment; Retrain, maintain, and monitor production models; Construct optimized data pipelines for ML models; Ensure code management, model governance, and Responsible AI best practices.
Seniority
Senior Manager, hands-on IC with leadership scope