Machine Learning Engineer
Machine Learning is the brains behind the technologies of AI. Today, Machine Learning is used for a number of important functions that range from sales forecasting, segment analysis, and claim fraud detection.
As a Machine Learning Engineer, you will be responsible for the design, deployment, and support of AI processes. Some of the responsibilities of the Machine Learning Engineer include:
In working with AI technologies, you should also be familiar with the best systems, from on-premise deployment to Edge computing. Another function involves using the cloud for the execution of AI algorithms, as well as training and retraining environments.
As a Machine Learning Engineer, you will be responsible for the design, deployment, and support of AI processes. Some of the responsibilities of the Machine Learning Engineer include:
- Acquisition of data
- The execution systems and analytical algorithms
- The integration of analytical methods in the business process
- Adapting and retraining of AI systems
In working with AI technologies, you should also be familiar with the best systems, from on-premise deployment to Edge computing. Another function involves using the cloud for the execution of AI algorithms, as well as training and retraining environments.
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