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.
Own and extend the identity / firmographic and financial layers of the ICP Profile Schema, working from Companies House API data and the Data Platform.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Build and iterate MVPs on Microsoft Power Platform/Azure (PowerApp, PowerAutomate, PowerBI, Copilot Studio, Foundry and etc) agents/toolkits for real internal use cases — legal, IT operations, HR, sales — from scoping through testing to business adoption and handover.
Design, build, and maintain MLOps pipelines for training, testing, deploying, and monitoring AI/ML models in production, ensuring stable, reliable, and scalable performance.
ML Systems Engineering: Design, develop, maintain, and optimize machine learning systems, including batch, real-time, and streaming inference patterns.