Machine Learning Engineer vs Machine learning Scientist

Machine Learning Engineer actually works in the branch of artificial intelligence who is responsible for creating programmes and algorithms that enable machines to take actions without being directed. Self-driving car is one the best example a machine learning engineer can develop with coding using the relevant algorithms. Their main role is to provide computers with the ability to learn automatically and improve from experience, without being programmed.

While on the other hand, Machine Learning Scientists work in the research and development of algorithms that are used in adaptive systems in AI field. These scientists actually, build methods for predicting product suggestions or recommendations and product demand or forecasting and explore big data to automatically extract patterns for large-scale machine learning and pattern recognition. Source