1. Designing and developing machine learning and deep learning systems 2. Running machine learning tests and experiments 3. Implementing appropriate ML algorithms 4. Study and transform data science prototypes 5. Design machine learning systems 6. Research and implement appropriate ML algorithms and tools 7. Develop machine learning applications according to requirements 8. Select appropriate datasets and data representation methods 9. Run machine learning tests and experiments 10. Perform statistical analysis and fine-tuning using test results 11. Train and retrain systems when necessary 12. Extend existing ML libraries and frameworks 13. Keep abreast of developments in the field