ML Platform Engineer
Save
May 13, 2024
Updated June 7, 2024
4 minute read
Machine learning platform engineers design, develop, and maintain the infrastructure and tools that enable data scientists and machine learning engineers to build, deploy, and manage machine learning models. They work closely with data scientists, machine learning engineers, and other IT professionals to ensure that the infrastructure and tools are optimized for machine learning workloads.
What Does a Machine Learning Platform Engineer Do?
Machine learning platform engineers are responsible for a wide range of tasks, including:
- Designing and developing the infrastructure for machine learning models
- Deploying and managing machine learning models
- Monitoring and maintaining the performance of machine learning models
- Working with data scientists and machine learning engineers to improve the performance of machine learning models
- Developing and implementing best practices for machine learning
What Skills and Knowledge Do You Need to Become a Machine Learning Platform Engineer?
Read More
Find a path to becoming a ML Platform Engineer. Learn more at:
OpenCourser.com/career/tdvvt1/ml
