Machine learning in the Cloud can be easy and flexible. Join us for a 1.5 hours hands-on workshop around Google Vertex AI: 1. Train models with Vertex AI Training 2. Serve models with Vertex AI Endpoints 3. Putting it together by using Vertex AI Pipelines (including Vertex AI Model Registry and Vertex AI Experiments)
In this episode
Senior Machine Learning Engineer, DoiT
Sascha is a Senior Machine Learning Engineer based in Berlin working for DoiT a remote-first company. He works on a unique blend of Machine Learning, Software Engineering, and Systems Design on the Cloud. Helped 60+ companies on their ML journey. Things are simple until you make them complicated.
Demetrios is one of the main organizers of the MLOps community and currently resides in a small town outside Frankfurt, Germany. He is an avid traveller who taught English as a second language to see the world and learn about new cultures. Demetrios fell into the Machine Learning Operations world, and since, has interviewed the leading names around MLOps, Data Science, and ML. Since diving into the nitty-gritty of Machine Learning Operations he felt a strong calling to explore the ethical issues surrounding ML. When he is not conducting interviews you can find him making stone stacking with his daughter in the woods or playing the ukulele by the campfire.
Ben was the machine learning lead for Splice Machine, leading the development of their MLOps platform and Feature Store. He is now a founding software engineer at Galileo (rungalileo.io) focused on building data discovery and data quality tooling for machine learning teams. Ben also works as an adjunct professor at Washington University in St. Louis teaching concepts in cloud computing and big data analytics.