A company is looking for a ML Ops Engineer.
Key Responsibilities
Develop and implement Deep Learning Pipelines using cutting-edge models
Sustain the infrastructure for Deep Learning inference on Azure
Build a CI / CD pipeline for automated deployment
Required Qualifications
At least 3 years of experience with Deep Learning Pipelines
Knowledge and experience with Azure / AWS / GCP, preferably Azure
Experience with CI / CD tools such as Pytest, Github Actions, and Docker
Familiarity with Infrastructure as code tools like Terraform
An approachable and friendly disposition
Machine Learning Engineer • Kansas City, Kansas, United States
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