Join us on April 9 to hear Grammarly’s technical lead, Pavlo Skliar, discuss how and why we upgraded and tuned the ML training platform to a scalable system to streamline ML development at Grammarly.

✅ Registration: to attend the meetup, please register ➡️ here ⬅️

We will share insights into our journey of upgrading ML training infrastructure. During the talk, we’ll discuss:

• Why we decided to move away from our custom architecture solution constrained by hardware shortages

• Key requirements that guided our decisions, the architectural challenges we faced, and which MLOps best practices were implemented to achieve scalability

• Our learnings as we transition from a single-region, single-instance setup on AWS to a scalable system with cluster-compute capabilities across regions and clouds

🔈 Pavlo Skliar, Technical Lead at Grammarly ✨ Who Will Be Interested: ML engineers, MLOps engineers, ML Infrastructure engineers, and anyone with knowledge of, or interest in, ML architecture and infrastructure

This session will present a general overview of the topic, which will be of interest to enthusiasts and specialists at all levels. For the more senior members of our audience, we will briefly examine the practical aspects and associated challenges.

Agenda: ✨ 18:30 Doors open: Time for mingling and networking with fellows; snacks and drinks will be served ✨ 19:00 Talk ✨ 20:00 More snacks, drinks, mingling, and networking ✨ 21:00 Meetup ends

✅ Where: In person, Grammarly Berlin hub

✅ When: Tuesday, April 9 ✅ Language: English ✅ Use this link to register: https://gram.ly/43r0Pr3

The event is free. Registration is mandatory. Due to a limited number of seats, the invites will be sent to a limited number of registered on a first registered first invited basis. Please check your inbox for a confirmation email about your attendance.