Capital One is seeking a Lead Machine Learning Engineer (MLE) to productionize ML applications at scale. You’ll work on ML architectural design, build models and pipelines, and ensure high availability and performance within an Agile team.
In this role you will apply languages like Python/Scala/Java, build scalable data pipelines, and leverage cloud-native ML platforms such as KServe, Kubernetes, PyTorch, and TensorFlow on AWS. The position emphasizes responsible AI and robust, maintainable code.
#J-18808-LjbffrLead ML Engineer (MLOps) - Kubernetes & Cloud Infra in richmond at Unknown Company
This position is listed as full time and onsite.