- Develop and implement automated pipelines for model training and evaluation.- Conduct experiments to evaluate the efficiency of different models and algorithms.- Participate in code reviews, testing, and documentation to ensure high-quality and maintainable code.- Keep up-to-date with the latest advancements in machine learning and data science techniques.