A Machine Learning (ML) Engineer in an MLOps/Data Science team is responsible for developing and deploying machine learning models. They work closely with Data Scientists to operationalize models, implementing them into production systems. ML Engineers leverage various techniques such as logistic regression, random forests, and neural networks to build effective predictive tools. They collaborate with MLOps Engineers to ensure seamless deployment, automate model training processes, and monitor performance in real-world applications.