Connvertex Technologies - San Francisco, CA

posted 5 days ago

Full-time - Mid Level
Remote - San Francisco, CA
Professional, Scientific, and Technical Services

About the position

The Azure Machine Learning DevOps Engineer will be responsible for developing and deploying machine learning models using Azure Machine Learning services. This role requires expertise in Azure and Kubernetes, as well as the ability to create services similar to SageMaker. The engineer will also be tasked with writing and maintaining Terraform scripts to support infrastructure as code practices.

Responsibilities

  • Develop and deploy machine learning models using Azure Machine Learning.
  • Create services similar to SageMaker.
  • Write and maintain Terraform scripts for infrastructure management.
  • Collaborate with data scientists and other stakeholders to ensure successful deployment of machine learning solutions.

Requirements

  • Expertise in Azure Machine Learning.
  • Proficiency in Kubernetes.
  • Experience in developing and deploying machine learning models using Azure ML.
  • Ability to create services like SageMaker.
  • Proficient in writing and maintaining Terraform scripts.

Benefits

  • Remote work options from specified locations.
  • Competitive pay rate.
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