Intermediate MLOps Engineer - US Federal - Workday : Job Details

In this role, you would:Work with multi-functional teams to deliver scalable, secure and reliable solutions. Building ML - Ops platform primarily using Kubeflow, and other ML ecosystem tools and services for a unified ML Development experience. Successfully communicate with data scientists, ML engineers, P - Ms and architects in requirements elaboration and drive technical solutions. Own and develop cloud based services from end to end including infrastructure as code. Design and build software solutions for efficient organization, storage and retrieval of data to enable substantial scale. Understanding cloud computing and security to build robust cloud infrastructure and solutions for ML teams. Build systems and dashboards to monitor service & ML health. Lead in architecture reviews, code reviews and technology evaluation. Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind. About You. Basic Qualifications for Software Engineer. US Citiz...Engineer, Media, Data Engineer, Monitoring, Data Scientist, Technology, Machine Learning