MLOps Engineer

Description:
Designdata pipelines and engineering infrastructure to support clients' enterprisemachine learning systems at scale
Developand deploy scalable tools and services for clients to handle machine learningtraining and inference
Collaboratewith the data engineers and data scientists on feature development tocontainerise and build out the deployment pipelines for new modules
Identifyand evaluate technologies to improve performance, maintainability, andreliability of clients' machine learning systems
Design, build as well as optimize applications containerisation and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure
Supportmodel development, with an emphasis on auditability, versioning, and datasecurity