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About us

The MLOps Community fills the need to share real-world Machine Learning Operations best practices from engineers in the field. While MLOps shares a lot of ground with DevOps, the differences are as big as the similarities. We needed a community laser-focused on solving the unique challenges we deal with every day building production AI/ML pipelines.

We’re in this together. Come learn with us in a community open to everyone. Share knowledge. Ask questions. Get answers.

You can check out our Slack or podcast that’s filled with tips and tricks to overcoming the common obstacles we’ve all hit in the real world. Make sure to join the #nyc channel.

Find the solutions you need. Share, learn, and grow with us, as we work to bring standardization to the chaotic world of MLOps

Upcoming events

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  • Building AI Agents That Actually Remember

    Building AI Agents That Actually Remember

    G Gallery, 404 Broadway, 2nd floor New York, NY 10013, New York, NY, US

    NOTE: REGISTER HERE
    PLEASE REGISTER ON LUMA TO BE ACCEPTED.

    AI agents can look great in a demo, then fall apart the moment memory, retrieval, and real-world complexity matter.
    ​This meetup is about what it actually takes to build agent systems that can remember the right things, retrieve the right context, and behave more reliably in production.
    ​We'll hear from speakers at Google, Tavily, and Oracle, each sharing practical lessons from building real AI systems, followed by audience Q&A and time to meet others working in the space.
    ​This is a relaxed, down-to-earth local chapter meetup designed for learning, good conversations, and connecting with other engineers and builders in NYC.

    TOPICS WE'LL EXPLORE
    ​Some of the themes across the evening will include:

    • ​Agent memory and long-term context
    • ​Retrieval and knowledge systems
    • ​Databases and infrastructure for AI agents
    • ​Building agent systems that are more reliable in production
    • ​The difference between demo-quality agents and production-ready systems

    ***

    ## ​AGENDA

    5:30 - 6:15 PM | Arrival & Networking
    Check-in, food, drinks, and informal networking
    6:15 - 6:30 PM | Welcome & Kickoff
    Opening remarks from the MLOps Community team and Oracle
    6:30 - 7:00 PM | Pier Paolo Ippolito - Google
    7:00 - 7:30 PM | Dean Sacoransky - Tavily
    7:30 - 8:00 PM | Richmond Alake - Oracle
    8:00 – 8:30 PM | George Pearse - Visia
    8:30 – 9:30 PM | Open Q&A + Networking
    Audience questions, breakout chats, drinks, and networking

    ***

    ## ​WHO SHOULD ATTEND

    ​Engineers, ML practitioners, and technical builders interested in AI agents, retrieval systems, memory architectures, and real-world LLM infrastructure.

    PLEASE REGISTER ON LUMA
    https://luma.com/uk9vvgal
    https://luma.com/uk9vvgal
    https://luma.com/uk9vvgal

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    17 attendees

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