Building for Small Data Science Teams, , James Lamb, , MLOps Coffee Sessions, 69

MLOps Coffee Sessions, 69 with James Lamb, Building for Small Data Science Teams cohosted by Adam Sroka. , , Abstract In this conversation, James shares some hardwon lessons on how to effectively use technology to create applications powered by machine learning models. James also talks about how making the right architecture decisions is as much about org structure and hiring plans as it is about technological features. , , Bio James Lamb is a machine learning engineer at SpotHero, a Chicagobased parking marketplace company. He is a maintainer of LightGBM, a popular machine learning framework from Microsoft Research, and has made many contributions to other opensource data science projects, including XGBoost and prefect. Prior to joining SpotHero, he worked on a managed Dask + Jupyter + Prefect service at Saturn Cloud and as an Industrial IoT Data Scientist at AWS and Uptake. Outside of work, he enjoys going to hip hop shows, watching the Celtics, Red Sox, and watchi