A Bayesian Inference developer uses probability models to make predictions about data. They create algorithms that utilize Bayes' theorem to update the probability of a hypothesis as more evidence becomes available. They analyze data, develop statistical models, and infer parameters based on observed data. Their work involves designing, implementing, and testing these algorithms, and they may also be responsible for interpreting and communicating the results. The objective is to improve decision-making processes in various fields such as healthcare, finance, and artificial intelligence by providing a probabilistic framework for understanding complex and uncertain phenomena.