• Consulting with managers to determine and refine machine learning objectives.• 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.• Ensuring that algorithms generate accurate user recommendations.• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.• 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.• Keeping abreast of developments in machine learning.