Our Machine learning team or data scientists are people who work with data and build machine learning models.

They clean and interpret data and build models using a combination of machine learning algorithms and data. BLIT data engineering subtasks include defining data requirements, collecting, labeling, inspecting, cleaning, augmenting, and moving data. Our modeling subtasks include training machine learning models, defining evaluation metrics, searching hyperparameters, and reading research papers.