Machine Learning Engineers design, build, and deploy ML models and systems that can learn from data and make predictions at scale. They bridge the gap between data science research and production engineering, focusing on model optimization, pipeline automation, and serving infrastructure. The role requires deep understanding of both ML algorithms and software engineering best practices.