About MLOps World
Organized by
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 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 Arora, Head 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
- David Hendrawirawan, Adjunct Faculty, The University of Texas at Austin
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 Salazar, Marketing & 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
2023 Event Demographics
2023 Technical Background
2023 Education Level
2023 Attendee Companies Actively Looking For Solutions
2023 Top 10 Most Common Titles
1. Data Scientist
Data Scientist | Senior Data Scientist | Data Science Team Lead | Lead Data Scientist
2. Directors
Director of Engineering | Director of Data Science | Director of Data Architecture | Director of ML Research | Director of Global AI Policy Compliance | Director Security, Director R&D | Director of ML | Director | Director Advanced Analytics
3. ML Engineers
Lead Machine Learning Engineer | MLOps Engineer | Chief Machine Learning Engineer | Field Application Engineer | Machine Learning | Associate Machine Learning Scientist
4. CEO/ Founder/ CTO”
CEO | Founder | Co-Founder | CTO | CTO Data and Analytics
5. VPs
VP of Technology | VP, Model Risk Management | VP Data Engineering | VP Software Engineering | VP of R&D | VP, Group Advanced Analytics
6. Managers
Sr. Manager, Artificial Intelligence | Sr Manager, Head of Data Science & ML | Data Manager | Sr Manager ML/AI | Data Science Manager | Engineering Manager | Data Analytics Manager
7. Data Engineers
Data Engineer
8. Student/Academic
Post Doc | Graduate RA | Fellow
9. Software
Software Architect | Software Developer | Software Development Engineer | Senior Software Developer
10. Product Manager
AI Product leader | Product Manager | Product Owner | Product Designer
Attendee Titles include
Business Leaders:
Chief Client Officer
Chief Digital Officer
Chief Executive Officer
Chief Experience Officer
Chief Operating Officer
Co-founder
Chief Scientific Officer
Chief Technology Officer
Director of Innovation
Director of Talent
Data Practitioners:
AI Developer
AI Lead
AI Project Lead
AI Solution Architect
Big Data Engineer
Biomed Engineer
Chief Data Scientist
Chief Scientist
Computational Linguist
Data Science Manager
Research Titles:
AI Researcher
Applied Research Scientist
Assistant Professor
Data Science fellow
Director Meteorological R&D
Graduate Research Assistant
Informatics Research Associate
ML Masters Student
Machine Learning Researcher
MASc Student Researcher
Become A Sponsor
MLOps World 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!
Sponsors and Partners
Gold Sponsors
Silver Sponsors
Bronze Sponsors
Exhibitors
Start-Up Corner
Community Partners
