MLOps World | GenAI Summit
Production ML and GenAI engineering: case studies and workshops for ML engineers and applied AI teams.
- Dates
- Nov 17 to Nov 18, 2026
- Where
- Austin, TX
- Cost
- Paid ticket. Prices via Eventbrite, not shown; workshops Nov 19.
- Type
- Conference · Paid ticket
- Organizer
- MLOps World
- Last checked
- October 23, 2026 against the event’s own site
Official site and registration
Cheaper ways in: Free virtual day on Nov 16; group discounts.
Speaking opportunities
Open call for speakers
Unpaid slots; speakers get a free pass; limited travel support for nonprofit or academic speakers.
Call for speakers
Unpaid slots; speakers get a free pass; limited travel support for nonprofit or academic speakers.
Who goes
Roles and segments the organizer or our research tag this event for.
Segments: AI and machine learning
Roles: machine learning engineer, prompt and applied ai engineer, ai product manager
The field it serves: Technology & Software
- Verified open jobs
- about 89,532
- Typical posted salary
- $184,000 a year (middle half $131,000 to $234,000)
- Entry or early-career level
- 24% of openings
- Employment, year over year
- −4.2% in information, the closest BLS sector
Source: NextChapter job data, jobs verified live in the last 7 days.
Source: NextChapter job data: salary ranges employers posted, midpoint of each range, 2,228 of the newest 5,000 verified open jobs.
Source: NextChapter job data: level read from the full posting, newest 5,000 verified open jobs.
Source: BLS Current Employment Statistics, seasonally adjusted payroll employment, September 2026.
Full Technology & Software snapshot: jobs, pay, layoffs and conferences
Employers at this conference
Exhibitors, sponsors and speakers we have found on the event’s own lists.
- Agentic Fabriq Sponsoring 2026
- Anaconda Sponsoring 2026
- BEM AI Sponsoring 2026
- Braintrust Sponsoring 2026
- CoreWeave Sponsoring 2026
- DragonflyDB Sponsoring 2026
- Elastic Sponsoring 2026
- Google Cloud Sponsoring 2026
- RunPod Sponsoring 2026
- Teradata Sponsoring 2026
- Tigris Data Sponsoring 2026
- Uber Sponsoring 2026
- Union AI Sponsoring 2026
- Vespa AI Sponsoring 2026
- Zipline Sponsoring 2026
- Bigspin Speaking 2026
- Chubb Speaking 2026
- Dataiku Speaking 2026
- Hudson Labs Speaking 2026
- Meta Speaking 2026
- Microsoft Speaking 2026
- NVIDIA Speaking 2026
- Omnara Speaking 2026
- OpenAI Speaking 2026
- OpenHands Speaking 2026
- PIMCO Speaking 2026
- Wisedocs Speaking 2026
Read from the event’s own pages: mlopsworld.com.
Speakers and sessions
Named on the event’s own program. Titles and organizations are as the event lists them.
Speakers
Antonio Bustamante
Co-Founder & CEO, bem
There's No One There to Press Retry: What We Learned Running AI on a Million Documents a Day
Arun Malik
Principal Software Engineer, Azure Networking, Microsoft
Letting AI Agents Run Incident Response on a 12M-Device Network: Guardrails, Gating, and 70% Lower Cost
Chris Alexiuk
Senior Product Research Engineer, NVIDIA
NemoClaw: Building a More Secure Runtime for Long-Running Autonomous Agents
Christopher G. Potts
Professor; Co-Founder & Chief Scientist, Stanford University; Bigspin
D. Sculley
Former CEO, Kaggle
Maybe the Puppets Were Right All Along
Fuzail Khan
Senior Machine Learning Engineer, Meta
Training Large-Scale Generative Recommenders
Ishaan Sehgal
CEO, Omnara (YC S25)
The Log is the Agent
Kalpesh Sutaria
Director, NVIDIA
Performance is the Product: Our Journey to SoTA for Nemotron Retriever
Matt Mazzarell
AI Lead, Financial Services, Americas, Teradata
Building Agentic Apps with Customer Data Products
Nadia Rauch
AVP, AI Engineering; Principal AI Engineer, Chubb
Why Your Multi-Agent Pipeline Is Slow and Expensive (And How to Fix It Systematically)
Poonam Lamba
Senior Product Lead, Google
Maximizing GPU Utilization in LLM Post-Training with Co-Operative Time-Slicing in LLM-D
Rajiv Shah
AI Engineer, OpenHands
Building Better Coding Agents: A Hands-On Workshop in Harness Engineering
Siddharth Jain
AI Engineering Manager, OpenAI
From Prompt to Privileged Action: Identity and Audit Controls for Enterprise AI Agents
Yegor Denisov-Blanch
Research Scientist, Stanford University
Read from the event’s own pages: mlopsworld.com
Industries and functions
Where it is and who it is for
Held in Austin, TX. Local jobs, employers, layoffs and other conferences nearby are on the place pages.
Past and planned editions
- 2026: November 17, 2026 to November 18, 2026, Austin, TX
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