About Generative AI 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 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 2022-2025Steering Committee

  • Suhas Pai, Co-Founder & CTO at Hudson Labs
  • Norm Zhou, Engineering Manager at Meta AI
  • Wenjie Zi, Senior Research Engineer at Borealis AI
  • Ben Ashtiani, Director, Data & AI PwC Canada
  • Raphael Taiwo Alabi PhD, Lead Machine Learning Engineer & Cybersecurity, Docusign
  • Nick Pogrebnyakov, Sr. ML Engineer, Twitter
  • Shervin Shahidi, ML Engineer, Roblox
  • Alireza Darbehani, MLOps EngineeR, BenchSci
  • Saurabh Marathe, Senior Machine Learning Engineer, Walmart Inc. (formerly WalmartLabs)
  • Nadia Rauch, PhD, Engineering Manager, Machine Learning and Data Engineering, Nylas
  • Hien Luu, Sr. Engineering Manager – Head of ML Platform, Doordash
  • Jason Carayanniotis, CEO, Artinus Consulting Inc.
  • Neeraj Madan, Data Science Leaderr, IBM
  • Vincent Chio, Data Science Manager, Shopify
  • Eduardo Apolinario, OSS team Engineering manager / Union.ai
  • Michael Gehmeyr, Director Computational Sciences, Biodesix, Inc.
  • 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
  • Patrick Halina, Manager, Pinterest
  • 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
  • Alex Preciado, Quantum Software Development Manager at Xanadu
  • Andreea Munteanu, AI/ML Product Manager
  • Reza Abasi, Senior Software Engineer, ML at Benson Hill
  • Murali Bhogavalli, Head of Product, Data Platform
  • Grant Nicholson, Data Platform Engineer
  • Nalin Dadhich, Senior Software Engineer, NVIDIA
  • Balaji Dhamodharan, Sr Principal Data Scientist
  • Tejas Chopra, Netflix
  • Alok Ranjan, Engineering Manager, Dropbox
  • Pratibha Rathore, Tech Lead AI/ML, Meta
  • Indrani Gorti, Head of Data and AI, Affinity
  • Yogananda Domlur Seetharama, Director of Data Science, Walmart Global Tech
  • Peeyush Agarwal, Staff Software Engineer, Meta
  • Natesh Babu Arunachalam, Director of Data Science, Mastercard
  • Arshad Ahmed, Lead Product Owner, Machine Learning Platform, Lloyd’s Banking Group
  • Denys Linkov, Head of ML, Voiceflow
  • Arman Didandeh, Global Senior Director, Data & ML Systems, Monks
  • Iryna Skrypnyk, VP of Data Science and AI, Nexus Cognitive
  • Hugo Bowne-Anderson, Independent Data and AI Scientist
  • Hashiam Kadhim, AI Lead, Block Inc.
  • Shivanku Misra, Enterprise VP, Global Head of Advanced Analytics and AI, McKesson

Who Attends

Event Demographics

Delegate Attendees per Conference
0 +
Highly qualified data practitioners
0 %
Currently Working in Industry
0 %
Actively Looking for Solutions
0 %
Currently Hiring
0 %
Attendees Actively Job-Searching
0 %

Technical Background

Expert/Researcher
18.28%
Advanced
43.46%
Intermediate
30.8%
Beginner/Business
7.39%

Education Level

PhD
15.34%
Masters
47.82%
Postgraduate
3.94%
Undergraduate
24.81%
Diploma
8.09%

Attendee Companies Actively Looking For Solutions

Yes
30.3%
Not at the moment
69.7%

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 Architecture | Director of ML Research | Director of Global AI Policy

3. ML Engineers
Machine Learning Engineer | ML Engineer | Senior Machine Learning Engineer | Lead Machine Learning Engineer

4. CEO/ Founder/ CTO
CEO | Founder | Co-Founder | Chief Technology Officer

5. VPs
VP of Technology | VP, Model Risk Management | VP Data Engineering | VP Software Engineering | VP of R&D

6. Managers
Sr. Manager, Artificial Intelligence | Sr Manager, Head of Data Science & ML | Data Manager | Sr Manager ML/AI | Data Analytics Manager

7. Data Engineers
Data Engineer | Senior Data Engineer | Lead Data Engineer

8. Student/Academic
Student | Post Grad | Researcher | PhD Student

9. Software
Software Engineer | Senior Software Architect | Software Developer | Software Architect

10. Product Manager
AI Product Leader | Product Manager | Product Owner | Product Designer