Ops seems to be the new focus of cloud computing work, says David Linthicum. “We have cloudops (cloud operations), finops (financial operations), devops (development and operations), and secops (security operations). You can see the trend.”
Enter MLOps. “MLOps is a critical component of the machine learning life cycle, enabling organizations to manage and operate machine learning models in production,” Linthicum says.
In this article, Linthicum describes the new MLOps career path, explaining the duties and responsibilities involved, such as:
- Model deployment
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