2023 MLOps World Call for Speakers – Register here

About MLOps World

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

Created initially 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 Huyen, Co-Founder, Real-time ML Infra Startup
  • Piero Molino, Co-Founder & CEO of Predibase
  • Norm Zhou, Engineering Manager at Meta AI
  • Goku Mohandas, Founder, Made With ML
  • Patrick Halina, Software Architect/Manager ML Engineering, Zynga
  • Alireza Darbehani, MLOps Engineer, BenchSci
  • Vincent Chio, Data Science Manager, Shopify
  • Jason Carayanniotis, CEO – Artinus Consulting Inc.
  • Raphael Taiwo Alabi PhD, Lead Machine Learning Engr | Cybersecurity, Docusign
  • Saurabh Marathe, Senior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
  • Shervin Shahidi, ML Engineer, Roblox
  • Ville Tuulos, Co-Founder & CEO, Outerbounds
  • Nick Pogrebnyakov, Senior ML Engineer, Twitter
  • Phoenix Unnayan Majumder, Head of Data and Analytics Centre of Excellence, Rogers
  • Ben Ashtiani, Director, Data & AI PwC Canada
  • Jérémie Vallée, Engineering Manager – ML Infrastructure, Duo Security
  • Mohammad Sabri, Chief MLOps Officer, Rocket Science Development
  • David Kanter, Founder, 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 Petrov, CEO & Co-Founder, Iterative.ai
  • Suresh Kumar Khemka, Head of Platform Engineering & Infrastructure, Apna
  • Arshad Ahmed, Lead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
  • Shailesh Kochhar, Platform Architect
  • Andrea Rondelli, Head of Data Platform, Italiaonline
  • Nakul AroraHead of Data CVML Platform
  • Andrew Sridhar, Head of Product, ML Platforms & Event Exchange, Wayfair
  • Ashkan Amiri, Director, ML R&D, Blackberry
  • Xiuduan Fang, Head of Platform Integrity Engineering, Snap
  • Vivek Murugesan, Vice President – ML Engineering, Yubi
  • Guhan Venguswamy, Head of Platform Engineering, Jasper AI
  • Svetlana Zavelskaya, Director, BlueOwl LLC

Organizing Team

  • David Scharbach, Executive Director
  • Faraz Thambi, Marketing & Partnerships
  • Tina Aprile, Operations; Speakers and Events
  • April Grace de las Alas, Head of Volunteers
  • Farah Malik, Accounting
  • Jenn Wright, Event Lead
  • Jennifer Dela Rosa, EA & Business Development
  • Valeria SalazarMarketing & Operation Coordinator
  • Allaine Nicole Gamaro, Website Lead

Extended Team/Volunteers

  • Bita Houshmand, Data Scientist | Research Assistant, Ryerson University
  • Carrillo Juan, Researcher – PhD Student, University of Toronto
  • Farhad Sadeghlo, Data Analyst, Omdena
    Farzaneh Ghods, Data Science and AI Technical Lead, IBM
  • Hariskrishna Venkatesan, Data Analyst, University of Toronto
  • Jiri Stodulka, Data Scientist, Stage Page
  • Karan Teckwani, Lead Data Scientist, EatSleepRIDE Motorcycle GPS
  • Mamta Gupta, Research Associate, Scotiabank Center for Customer Analytics at Queen’s University, Scotiabank
  • Maria D’Angelo, Data Science Lead, Shopify
  • Marnie Landon, CEO and Founder, C 2 Infinity Corporation
  • Motasem Salem, Data Scientist, Flipp
  • Nadia Rauch, PhD,  Engineering Manager, Machine Learning and Data Engineering, Nylas
  • Peter Yu Ping Shih
  • Reena Shaw, Talent Acquisition Expert, Savanna HR
  • Stewart Hayes, Director, Business Development + Partnerships, Intersect
  • Tariq Habib, Senior Advisor I Global Investment and Innovation Incentives, Deloitte
  • Madhur Kanjolia, Consultant, Accenture

Who Attends

2022 Event Demographics

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

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
Receive invites to our free Jam Sessions, Tools & Open Source Demo Week, MLOps World Conference includes workshops sessions, and Newsletter incl. Video’s & talk summaries

Become A Sponsor

Toronto Machine Learning Society has partnered with the following companies for our various events, and initiatives. If you’re interested, please reach out to faraz@mlopsworld.com. We’re happy to establish new partnerships!

Thank You to Our 2022 Sponsors and Partners

Platinum Sponsor

Gold Sponsors

Start-Up Showcase, Demo & Career Fair Sponsor

Silver Sponsors

Bronze Sponsors

Community Partners

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