Lead a team of young and bright MLOps Engineers in conducting research, design, and prototype MLOps practices, tools, and frameworks to expedite the machine learning lifecycle at MoneyLion.
Work in collaboration with Data Scientists, Data Engineers, and AI/ML Engineering teams to enhance cross-team workflows and reduce time to deployment.
Improve the level of automation in the development and deployment processes of machine learning....
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization;...
Define and drive Service Level Objectives (SLOs) for online machine learning inference systems, ensuring the reliability, availability, and performance of large-scale production inference services;
Ensure the reliability and operational excellence of offline machine learning training pipelines, continuously improving training job success rates;
Drive infrastructure capacity planning and resource management for machine learning workloads, ensuring compute resources meet evolving business demands while continuously improving GPU and CPU utilization through performance optimization;...