A Machine Learning (ML) developer designs and develops machine learning systems, runs machine learning tests and experiments, implements appropriate ML algorithms. They work on improving existing algorithms, understanding data patterns and scaling predictive models for production. Their work involves understanding project requirements, translating problems into AI/ML driven solutions, and maintaining the models over time. They also collaborate with data scientists to build data products and run machine learning software in production. They use programming languages like Python, R, Java, and frameworks like TensorFlow or PyTorch. They also need good knowledge of statistics and algorithms.