Consulting with the manager to determine and refine machine learning objectives.

Designing machine learning systems and self-running artificial intelligence (AI) to automate predictive models.

Transforming data science prototypes and applying appropriate ML algorithms and tools.

Ensuring that algorithms generate accurate user recommendations.

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.

Stress testing, performing statistical analysis, and interpreting test results for all market conditions.

Documenting machine learning processes.

Keeping abreast of developments in machine learning.