
In an era where artificial intelligence (AI) is reshaping the technological landscape, the roles of data scientists and machine learning engineers have emerged as critical components in the AI workflow. As organizations strive to integrate AI technologies to boost efficiency, profitability, and innovation, understanding how these roles intersect and diverge has become increasingly important. Through this analysis, we explore the