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MLOps Architect at Google

Location
Jersey City, New Jersey
Type
Full-time
Level
senior

Description

The posting is for an MLOps Architect responsible for documenting architecture, workflows, and best practices, providing technical oversight and guidelines, and architecting end-to-end MLOps and LLMOps pipelines with Azure Machine Learning and Azure OpenAI. The role includes designing scalable infrastructure for training, deploying, and monitoring machine learning and large language models in production and collaborating with data teams.

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