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Model Evaluation

Machine Learning Engineer

A Machine learning Engineer is a key player in ML model development. They are responsible for multiple tasks such as coding, deployment, testing, and troubleshooting issues that may arise while developing such models.

They are essentially a Data Scientist who specializes in automatic learning algorithms, to enable the processing of large amounts of data (of varying nature). A machine learning engineer is typically in charge of answering mathematical modeling problems using adapted algorithms within data teams. For this, he chooses the most powerful model from his preferred range of algorithms: supervised learning, unsupervised learning or deep neural networks (Deep Learning).

What do they do?

  • Program Machine Learning algorithms
  • Train deep neural networks
  • Model complex data, such as images and text
  • Conduct a research project and produce a proof of concept (POC)
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