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 Steering Committee

  • Patrick Halina, Software Architect/Manager ML Engineering, Zynga
  • Alireza Darbehani, Machine Learning Engineer, WSP in Canada
  • Vincent Chio, Senior ML Engineer, Shopify
  • Jason Carayanniotis, Data Science, Defence Research and Development Canada
  • Raphael Taiwo Alabi PhD, Senior Machine Learning Engineer, Docusign (remote)
  • Saurabh Marathe, Machine Learning Engineer 3, Walmart Labs (Remote)
  • Shervin Shahidi, Senior Machine Learning Software Engineer, Team Lead Borealis AI
  • Ville Tuulos, Co-founder & CEO, Outerbounds
  • Nick Pogrebnyakov, Senior AI Researcher / Associate Professor, Thomson Reuters & Copenhagen Business School
  • Phoenix Unnayan Majumder, Head of Data and Analytics Centre of Excellence, Rogers
  • Ben Ashtiani, AVP, Data Science and Client Analytics, Sun Life
  • Jérémie Vallée, Engineering Manager – ML Infrastructure, Duo Security
  • Mohammad Sabri, Chief MLOps Officer, Rocket Science Development
  • David Kanter, Founder, Executive Director, MLCommons
  • Farzaneh Rajabi
  • Piero MolinoCo-founder & CEO of Predibase
  • Chip Huyen, Co-Founder, Real-time ML Infra Startup
  • Larysa Visengeriyeva

Organizing Team

  • David Scharbach, Director, Founder
  • Faraz Thambi, Organizer, Head of Marketing and Partnerships
  • Tina Aprile, Head of Event Operations
  • April Grace de las Alas, Structural Coordinator,
  • Amy Mansell, Organizer, Project Manager, Lighthouse Labs
  • Maecy Santos, EA
  • Maria D’Angelo, Ph.D, Head of Diversity & Inclusion Programs, Data Scientist, Delphia
  • Michelle Lai, Content Research Coordinator
  • Jenn Wright, Event Lead
  • 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, Senior Machine Learning Engineer, R&D, 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

2021 Event Demographics

Delegate Attendees per Conference


Actively Looking for Solutions


Currently Job-seeking


Currently Hiring

2021 Technical Background

  • Expert/Researcher 21.8% 21.8%
  • Advanced 23.6% 23.6%
  • Intermediate 39.7% 39.7%
  • Beginner/Business 14.9% 14.9%

2021 Attendee Companies Actively Looking For Solutions

  • Yes 30.4% 30.4%
  • Not at the moment 69.6% 69.6%

2021 Top 10 Most Common Titles

1. Data Scientist
Data Scientist | Senior Data Scientist | Data Science Team Lead | Lead Data Scientist | Director, Data Science

2. ML Engineer
ML Developer | AI Engineer | MLOps Engineer | Senior Data Engineer Lead ML Engineer | Senior ML Engineer

3. Software Engineer
Software Engineer | Software Developer | Software Architect | Senior Software Developer

4. Data Engineer
Data Engineer | Director of Engineering | Engineer | Software Architect | Software Developer

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

6. CEO/Founder
CEO | Founder | Co Founder

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

8. Consultant/CTO
Consultant | Senior Consultant | CTO

9. Researchers
Researcher | Research Director | Research Scientist | Research Engineer | Research Data Scientist

10. Product Manager
Product Manager | Product Manager

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


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

Thank you to our 2022 Sponsors and Partners

Platinum Sponsor

Gold Sponsors

Silver Sponsors

Bronze Sponsors

Community Partners

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