Machine Learning Operations Engineer

March 27

Merlyn Mind

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The digital assistant for teachers.

EdTech • AI • Computer Software • Computer Hardware • Education

51 - 200

Description

• Design, architect and develop inference infrastructure for models and services • Apply Engineering best practices • Collaborate with cross-functional team to solve complex engineering challenges

Requirements

• Operational experience on a production system that hosts LLMs • Experience with GCP cloud • Experience with building, deploying, and maintaining Kubernetes production clusters • Experience with deploying infrastructure as code • Strong experience with Python and/or Java/Kotlin/Rust/Go • Strong experience operating on large volumes of data on cloud • Experience with software engineering and CI/CD best practices

Benefits

• VC-backed startup • Remote First • Opportunity to work with talents from IBM, Amazon, Facebook, and more • Focus on AI in Education • Building digital assistant for teachers