A Machine Learning (ML) developer designs, develops, and implements machine learning models to solve business problems. They collect, clean, and preprocess data, select appropriate ML algorithms, train and tune models, and analyze results for insights and accuracy. They also ensure that models are scalable and efficient. Additionally, they collaborate with data scientists, engineers, and stakeholders to understand project objectives, define system requirements, and integrate solutions into the broader infrastructure. Continual learning about new ML technologies, tools, and practices is essential for their role. They also need to maintain ethical considerations around data privacy and bias.