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About Us

MLOps World is an international community group of practitioners trying to better understand the science of deploying ML models into live production environments.

Created by the Toronto Machine Learning Society (TMLS) this initiative is intended to unite and support the wider AI Ecosystem, companies, practitioners, and academics and contributors to open-source communities operating within it.
With an explorative approach, our initiatives address the unique needs of our community of over 9,000+ ML researchers, professionals, entrepreneurs and engineers. Intended to empower its members and propel productionized ML. Our community gatherings and events attempt to re-imagining what it means to have a connected community; offering support, growth, inclusion for all participants.

We strive to support our community by supporting;

  • Regular social gatherings
  • Knowledge sharing and career development
  • Identification of opportunities and effective practices, methodologies and principles around deploying models into live production environments
  • Unique local and global partnerships
  • Hiring and talent building
  • Growth of diverse and inclusive teams

The MLOps World 2022-2023 Steering Committee

  • Hien Luu, Senior Engineering Manager – Head, ML Platform
  • Chip HuyenCo-Founder, Real-time ML Infra Startup
  • Piero MolinoCo-Founder & CEO of Predibase
  • Norm Zhou, Engineering Manager at Meta AI
  • Goku Mohandas, Founder, Made With ML
  • Patrick HalinaSoftware Architect/Manager ML Engineering, Zynga
  • Alireza DarbehaniMLOps Engineer, BenchSci
  • Vincent ChioData Science Manager, Shopify
  • Jason CarayanniotisCEO – Artinus Consulting Inc.
  • Raphael Taiwo Alabi PhDLead Machine Learning Engr | Cybersecurity, Docusign
  • Saurabh MaratheSenior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
  • Shervin Shahidi, ML Engineer, Roblox
  • Ville TuulosCo-Founder & CEO, Outerbounds
  • Nick PogrebnyakovSenior ML Engineer, Twitter
  • Phoenix Unnayan MajumderHead of Data and Analytics Centre of Excellence, Rogers
  • Ben AshtianiDirector, Data & AI PwC Canada
  • Jérémie ValléeEngineering Manager – ML Infrastructure, Duo Security
  • Mohammad SabriChief MLOps Officer, Rocket Science Development
  • David KanterFounder, Executive Director, MLCommons
  • Farzaneh Rajabi, Research Assistant, Stanford University
  • Dr. Larysa Visengeriyeva, Head of Data and AI, INNOQ
  • Wenjie Zi, Senior Research Engineer at Borealis AI
  • Savin Goyal, CTO & Co-Founder, Outerbounds
  • Nadia Rauch, PhD,  Engineering Manager, Machine Learning and Data Engineering, Nylas
  • Neeraj Madan, Data Science Leader, IBM
  • Victor Pereboom,  Founder & CTO, UbiOps
  • Eduardo Apolinario, OSS Team Engineering Manager, Union.ai
  • Michael Gehmeyr,  Director, Computational Sciences, Biodesix, Inc.
  • Dmitry PetrovCEO & Co-Founder, Iterative.ai
  • Suresh Kumar KhemkaHead of Platform Engineering & Infrastructure, Apna
  • Arshad AhmedLead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
  • Shailesh KochharPlatform Architect
  • Andrea RondelliHead of Data Platform, Italiaonline
  • Nakul AroraHead of Data CVML Platform
  • Andrew SridharHead of Product, ML Platforms & Event Exchange, Wayfair
  • Ashkan Amiri, Director, ML R&D, Blackberry
  • Xiuduan FangHead of Platform Integrity Engineering, Snap
  • Vivek MurugesanVice President – ML Engineering, Yubi
  • Guhan VenguswamyHead of Platform Engineering, Jasper AI
  • Svetlana ZavelskayaDirector, BlueOwl LLC
  • David HendrawirawanAdjunct Faculty, The University of Texas at Austin

Who Attends

2022 Event Demographics

Real Work Case Studies
0 +
Actively Looking for Solutions
0 %
Currently Job-seeking
0 %
Currently Hiring
0 %

2022 Technical Background

Expert/Researcher
16.26%
Advanced
33.13%
Intermediate
30.81%
Beginner/Business
19.8%

2022 Attendee Companies Actively Looking For Solutions

Yes
30.4%
Not at the moment
69.6%

2022 Top 10 Most Common Titles

1. Data Scientist
Applied Data Scientist | Associate Data Scientist | Data Science Analyst | Data Science Manager | Data Science Director | Data Scientist | Lead Data Scientist | Principal Data Scientist | Senior Data Scientist | Senior Manager Data Science

2. ML Engineer
AI Engineer | Lead Machine Learning Engineer | Lead MLOps Engineer | Machine Learning Engineer | MLOps Engineer | Senior Machine Learning Engineer | Senior MLOps Engineer | Sr. Lead ML Engineer | Sr. Principal Engineer

3. Software Engineer
Machine learning software engineer | Senior ML Software Engineer | Software Engineer | Software Engineer Team Lead | Software Engineering Manager | Senior Software Engineer | Principal Software Engineer | Principal Software Engineer Data & ML

4. Data Engineer
Data Engineer | Lead Data Engineer | Manager, Data Engineering | Senior Data Engineer | Director – Data & Analytics AI Engineering

5. Student
PhD | Masters | Post-Graduate | Undergrad

6. CEO/Founder
CEO | CEO / Founder | CEO & Co-founder | Co-founder | COO & Co-founder | COO | CMO | CPO | CRO & GM US | CSO

7. Data Analyst
Data Analyst | Data Evangelist | Senior Data Analyst

8. Consultant/CTO
CTO | Consultant | Senior Consultant | Managing Consultant | Solutions Consultant | Machine Learning Consultant

9. Researchers
AI Researcher | Machine Learning Researcher | MLOps Researcher | Researcher | Research Platform Engineer

10. Product Manager
Data Product Manager | Director of Product Management | Head of Product | Product Manager | Senior Product Manager | Senior Technical Product Manager | Sr. Manager of Data Products

Companies who have Presented include

Algorithmia
Alibaba Gro up
Altair Engineering
AltaML
Amazon Alexa
Anodot
Anyscale
Aporia
Arango DB
Avast

H2O.AI
Hugging Face
IBM
Iguazio
Imperial College London
Infinstor Inc
Intuit
Iterative.ai
John Snow Labs
Leverness
Plotly
Privat e AI
Publicis Sapient
PyCaret
Quadrical.ai
Quicken Loans
RBC
Replicate.ai
Rocket Science
SAP

Companies who have Presented include

Algorithmia
Alibaba Group
Altair Engineering
AltaML
Amazon Alexa
Anodot
Anyscale
Aporia
Arango DB
Avast
BetaVector
bnh.ai
Bodywork Machine Learning
DAGsHub
Databricks
Dataiku
DataRobot
DataStax
DataVector AI
DKB Bank
Domino Data Lab
DoorDash
Elastic
Evidently AI
Facebook AI
Fiddler AI
Filament AI
Flyte
GitHub
GlobalLogic
Google
Grid ai
H&M Group
H2O.AI
Hugging Face
IBM
Iguazio
Imperia l College London
Infinstor Inc
Intuit
Iterative.ai
John Snow Labs
Leverness
Lightbend
LinkedIn
Loblaw Digital
Logical Clocks
maiot GmbH
Microsoft
Microsoft Research
MIT
ModelOp
Monte Carlo
Moov AI
Morgan Stanley
National Research Council of Canada (NRC)
Netflix
Neurocat GmbH
Nvidia
NVIDIA
Oracle
Pachyderm
Petuum
Pinterest
Pitney Bowes
Plotly

Private AI
Publicis Sapient
PyCaret
Quadrical.ai
Quicken Loans
RBC
Replicate.ai
Rocket Science
SAP
Scotiabank
Seldon
Sensibill
Shopify
Snorkel AI
Stitch Fix
Tecton
Tenstorrent
Thomson Reuters
Twitter
UC Berkeley
Udemy
United States Army Futures
Command, AI Task Force
University of Toronto
University of Waterloo
University of Wisconsin -Madison
Vector Institute
Verta Inc
WaveAccess
Weights & Biases
WhyLabs
Yelp