MLOps Engineer
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May 3, 2024
Updated June 7, 2024
4 minute read
MLOps Engineers are responsible for the deployment and management of machine learning models. They work with data scientists and software engineers to ensure that models are deployed and managed in a way that maximizes their performance and minimizes their risk.
What does an MLOps Engineer do?
MLOps Engineers perform a variety of tasks, including:
- Deploying and managing machine learning models
- Monitoring model performance and identifying issues
- Automating the deployment and management process
- Working with data scientists and software engineers to improve model performance
What skills do I need to become an MLOps Engineer?
To become an MLOps Engineer, you will need a strong foundation in machine learning, data science, and software engineering. You should also have experience with cloud computing and DevOps practices.
The following skills are essential for MLOps Engineers:
- Machine learning
- Data science
- Software engineering
- Cloud computing
- DevOps
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Find a path to becoming a MLOps Engineer. Learn more at:
OpenCourser.com/career/cm8l7b/mlops
