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MLOps.community

Demetrios
Machine Learning
Large Language Models
Mlops
Generative AI
AI Agents
Artificial Intelligence
Data Engineering
Data Science
Data Quality
Machine Learning Operations
Recommender Systems
Llms
E-Commerce
AI and Machine Learning
Prosus
Fraud Detection
Vector Databases
Mlflow
Open Source
AI Safety

Relaxed Conversations around getting AI into production, whatever shape that may come in (agentic, traditional ML, LLMs, Vibes, etc)

PublishesTwice weeklyEpisodes525Founded6 years ago
Number of ListenersCategory
Technology

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Latest Episodes

Thiago Cardoso is the Director of Data & AI at iFood and the architect behind iFood Pago's AI agent platform. This fintech system serves millions of restaurants across Brazil through WhatsApp and the iFood app. In this episode, he breaks down what it... more

Sherwood Callaway is the founder of Sazabi (YC P26), the AI-native observability platform built for engineering teams who ship fast. He previously founded and exited a YC company — now he's back, betting that logs are all you need to replace Datadog.... more

Joe Maionchi (Co-founder & COO) and Rod Christensen (Co-founder & Chief Architect) of RocketRide join the MLOps Community to walk through AIDE — the AI Integrated Development Environment. RocketRide is an open-source AI pipeline platform that lets de... more

BuzzHPC Roundtable episode: Architecting Modern AI Systems: Platforms, Agents, and Integration

Join the Community: go.mlops.community/YTJoinIn

Get the newsletter: go.mlops.community/YTNewsletter

MLOps GPU Guide: go.mlops.c... more

Key Facts

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Recent Guests

Samraj Moorjani
Engineer on the MLflow team at Databricks, focusing on agent quality and production governance
Databricks
Episode: Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
Apurva MisraA
Founder of Sentick, AI strategy and education for startups
Sentick
Episode: Operationalizing AI Agents: From Experimentation to Production // Databricks Roundtable
Not identified
Not specified
Episode: Computers that Think and Take Actions for You
Team Member
Part of the team that developed the AI travel agent
Unicorn Mafia
Episode: Best AI Hackathon Project Ever? [Bite Size Episode]
Jukka Remes
Senior Lecturer of ICT and AI at Haaga-Helia University of Applied Sciences and founder and CTO of A2Wave AI
A2Wave AI
Episode: Packaging MLOps Tech Neatly for Engineers and Non-engineers // Jukka Remes // #322
David Hershey
Member of the Applied AI team at Anthropic
Anthropic
Episode: Claude Plays Pokémon - A Conversation with the Creator // David Hershey // #297
Krishna Sridhar
VP of Engineering at Qualcomm
Qualcomm
Episode: Efficient Deployment of Models at the Edge // Krishna Sridhar // #284
Lauren Kaplan
Mixed methods UX researcher focused on AI
Episode: The Impact of UX Research in the AI Space // Lauren Kaplan // #272
Erica Greene
Head of engineering for ML at Yahoo News
Yahoo News
Episode: AI Testing Highlights // Special MLOps Podcast Episode

Reviews

4.8 out of 5 stars from 210 ratings
  • Lots of stealth marketing pitches, very little information

    The hosts are a couple of young guys who spend most of the time congratulating themselves for moving to the Bay Area. Lots of “everyone who’s serious about tech is in the bay, it’s that simple” on every. Single. Episode. Most guests are from other B2B SaaS companies hocking their products, and on the occasion that there’s an informative guest, their blog posts and papers won’t get linked in the show notes because they’re too busy #disrupting. Not a good resource for people looking to stay knowle... more

    Apple Podcasts
    1
    Thank T.
    United Statesa month ago
  • 10 out of 5 stars

    Amazing host/podcast, very informative and awesome guests.

    Apple Podcasts
    5
    anxnsodkcoapsjdj
    United States4 months ago
  • Best ML Podcast on the planet

    Anything you want to learn, understand about AI, ML and Data Science this is the place to be!

    Apple Podcasts
    5
    GeorgeShafik
    Australia2 years ago
  • Consistently good information from operators

    No fluff. Getting into the details. There's no other podcast like this. Thank you for sharing!

    Apple Podcasts
    5
    Stealth912
    United States3 years ago
  • Community de Lux for data professionals

    🤓The best hosts you can think of. Data professionals with emotional intelligence.

    Super guests and great topics.

    🌍On top there’s a world spanning network of Meetup groups!

    You need to listen to this if you are in the data space

    Apple Podcasts
    5
    Asmedegaardp
    Norway3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Strong emphasis on hands-on engineering and real-world tooling.
Community-driven, data-nerdy discussions that stay actionable.
Consistent depth without fluff, with helpful industry context.
Engaging hosts and deep-dive guests; practical takeaways for production ML.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#207
Australia/Technology
Apple Podcasts
#112
Brazil/Technology
Apple Podcasts
#151
Finland/Technology
Apple Podcasts
#224
Israel/Technology
Apple Podcasts
#225
Ireland/Technology

Talking Points

Recent interactions between the hosts and their guests.

Serving LLMs in Production: Performance, Cost & Scale // CAST AI Roundtable
Q: How do different quantization techniques apply to specialized LLMs?
Techniques can often be reused across different models, maintaining the principles of the transformer architecture.
Overcoming Challenges in AI Agent Deployment: The Sweet Spot for Governance and Security // Spencer Reagan // #349
Q: What are your thoughts on the security and governance aspect of giving agency to AI?
The balance of empowering AI agents with autonomy while implementing constraints to ensure security is crucial in creating a trustworthy system.
Overcoming Challenges in AI Agent Deployment: The Sweet Spot for Governance and Security // Spencer Reagan // #349
Q: What are some use cases and ways in which you've been seeing AI doing well in businesses?
Most of the use cases involve summarization and expansion of ideas, particularly involving data management tasks centered around spreadsheets.
Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria // #342
Q: How have you seen people just surprise you with what they're doing?
One person was using a fleet of 10 to 12 Claudes for one problem, giving all instances a persona.
Building Claude Code: Origin, Story, Product Iterations, & What's Next // Siddharth Bidasaria // #342
Q: What has been your favorite feature that you added?
My favorite feature that I added would probably be the to-do list.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
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Frequently Asked Questions About MLOps.community

What is MLOps.community about and what kind of topics does it cover?

Strong focus on practical AI production, ML tooling, and scalable agent workflows. Episodes frequently explore long-running agents, orchestration, observability, and production-ready evaluation, with deep dives into latency, reliability, and governance in real-world deployments. Notable strengths include a hands-on lens from practitioners, open-source and vendor contrasts, and discussions that bridge research concepts with enterprise constraints, making it valuable for listeners building or buying ML/AI systems. The show tends to feature operators and engineers who share implementable patterns, lessons from live deployments, and perspectives on open standards and interoperability across runtimes.

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Rephonic provides a wide range of podcast stats for MLOps.community. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to MLOps.community and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does MLOps.community get?

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To see how many followers or subscribers MLOps.community has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to MLOps.community?

These podcasts share a similar audience with MLOps.community:

1. Practical AI
2. Super Data Science: ML & AI Podcast with Jon Krohn
3. AI + a16z
4. Machine Learning Street Talk (MLST)
5. Training Data

How many episodes of MLOps.community are there?

MLOps.community launched 6 years ago and published 525 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact MLOps.community?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

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What guests have appeared on MLOps.community?

Recent guests on MLOps.community include:

1. Samraj Moorjani
2. Apurva MisraA
3. Not identified
4. Team Member
5. Jukka Remes
6. David Hershey
7. Krishna Sridhar
8. Lauren Kaplan

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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