What Does Machine Learning Engineer (MLE) Mean?
A machine learning engineer (ML engineer) is an information technology (IT) professional who is responsible for helping to build and maintain an organization's machine learning (ML) algorithms and artificial intelligence (AI) systems.
An important goal of an ML engineering's job is to make it easier for data scientists to access and find value from extremely large data sets.
In a large enterprise, ML engineers require background skills that lie somewhere between those required by certified data analysts and data scientists with advanced degrees. Typical job responsibilities include:
- Pre-processing training data.
- Tasks includes data collection, normalization and standardization, as well as data pipeline construction, ML model selection and hyperparameter tuning.
- Working with data science and operations teams to automate predictive models.
- Continuously monitoring outputs to ensure they remain within defined limits and are as free from machine bias as possible.