Btw, there are over 200 companies that get notified when you create a profile on our jobs board. Happy hunting.
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Coffee Sessions
The Evolution of ML Infrastructure // Sakib Dadi
Sakib is a vice president in the San Francisco office where he primarily focuses on early-stage investments in developer platforms, data infrastructure, and machine learning. He has been involved with Bessemer’s investments in Prefect, Coiled, Arcion, Periscope Data (acquired by Sisense), Okera, npm (acquired by GitHub), and LaunchDarkly. Before joining Bessemer, Sakib worked in product at Viagogo, an international marketplace for buying and selling tickets for live events.
Sakib also worked in the technology investment banking group at Morgan Stanley and as an engineer at Innova Dynamics (acquired by TPK), a startup manufacturing flexible touchscreen displays.
You're invited to join an instructor-led virtual workshop on Data-centric AI development in Snorkel Flow on January 31, 2023, at 12:00 PM Pacific Time (3:00 PM Eastern Time). During the workshop, you will get hands-on experience using Snorkel Flow for text and document classification using weak supervision and programmatic labeling.
In this two-hour workshop, experts from Snorkel AI will show you how to automate data labeling to accelerate the development of NLP applications, and you will see novel techniques such as
boosted active learning, as well as search-based and embeddings-based programmatic labeling. **Sponsored Content - Click below to help me pay the bills!**
Bag of Tricks for Optimizing Machine Learning Training Pipelines Learn how Ntropy, a machine learning company, improves the efficiency of their machine-learning pipelines while keeping costs under control in this informative blog post. Discover the techniques they use such as using Google Cloud Platform for hardware, dividing workloads into three categories, and using a multi-cloud setup. Also learn about the benefits of using Docker images to package their training code and dependencies.
How to tame your MLOps Mess with Run:ai Run:ai Atlas is an MLOps infrastructure platform that helps organizations simplify and deliver faster on their AI journey from beginning to end. It provides tools that let AI/ML teams build, train, and deploy their models, while maintaining the flexibility to integrate any other open-source or 3rd party MLOps tool that runs on Kubernetes.
Thanks for reading. This issue was written by Demetrios Brinkmann and Jessica Rudd. See you in Slack, Youtube, and podcast land. Oh yeah, and we are also on Twitter if you like chirping birds.
