- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Transforming data science prototypes and applying appropriate ML algorithms and tools.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Developing ML algorithms to analyze huge volumes of historical data to make predictions.
- Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.