2023 MLOps World Conference & Expo – Join Us

By Toronto Machine Learning Society (TMLS)

Machine Learning in Production
Silicon Valley

A Uniquely Interactive Experience

Why MLOps Production & Engineering?

Too few companies have effective AI leaders or an effective AI strategy.

An interactive conference is one in which you meet attendees before the event, message speakers directly, discuss specific areas of your work and establish a stronger network. We’re working to help you with a clearer understanding of best practices, methodologies, and principles of effective ML.

The micro-summit includes:

  • 6 speakers
  • Access 3 hours of live-streamed content (incl. recordings)
  • Talks for beginners/intermediate & advanced
  • Case Studies, Executive Track – Business Alignment & Advanced Technical Research
  • Q+A with speakers
  • ML in production workshops
  • Channels to share your work with community


Join this new initiative to help push the AI community forward.

We’re Hosting

Breakout Sessions

(All Levels)

Discussion Groups
Virtual Platform

Past Speakers

Ravi Kiran Chirravuri

Ravi Kiran Chirravuri

Machine Learning Infrastructure, Netflix
Talk: Metaflow: Supercharging Our Data Scientist Productivity

Jan Florjanczyk

Jan Florjanczyk

Senior Data Scientist, Netflix
Talk: Metaflow: Supercharging Our Data Scientist Productivity

Hagay Lupesko

Hagay Lupesko

Engineering Leader, AI and ML, Facebook
Talk: Recommendation System with Deep Learning and PyTorch

Vishwakarma Singh

Vishwakarma Singh

Machine Learning Researcher, Pinterest
Talk: Machine Learning for Trust and Safety at Pinterest

Lea Genuit

Léa Genuit

Data Scientist, Fiddler
Talk: Explainable Monitoring for Successful Impact with AI Deployments

Meeta Dash with logo

Meeta Dash

VP Product, Verta
Talk: Simplifying AI DevOps with Model Registry

Rustem Feyzkhanov

Rustem Feyzkhanov

Machine Learning Engineer, Instrumental
Talk: Serverless for Machine Learning Pipelines.

Past Workshop Facilitators

Jules-Damji_Machine_Learning_mlops_models_multiple algorithms tools_API

Jules Damji

Developer Advocate, Databricks
Workshop: Introduction to MLflow: Machine Learning Life Cycle Management Platform

Elle OBrien

Elle O’Brien

Data Scientist, Iterative.ai
Workshop: How to Automate Machine Learning with GitHub Actions

Past Sponsors

Platinum Sponsor

Gold Sponsors

Silver Sponsors

Join Our Community

Our goal is to provide an open, inclusive community of ML practitioners who can share projects, best practices and case studies. Join our open group, meet our community and share your work with practitioners from around the world. Join us here and learn more: