Share
🤞 fingers crossed
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This might be the best paper on MLOps I've seen.

Of course, I'm biased. The data came from the community podcast.
 
Coffee Sessions
  • Non-traditional Career Paths in MLOps // Matthew Dombrowski

    Matt has performed a number of MLOps positions including Solutions Consultant, Solutions Architect, and Product Manager from startups to large organizations. In his current role, Matt builds tools to help social media influencers discover unique and exciting Amazon products to recommend to their audiences.

    Gradual || Spotify || Apple

  • Griffin the ML Platform at Instacart // Sahil Khanna

    Sahil is currently a machine learning engineer at Instacart, where they are building a centralized platform for the training, deployment, and management of diverse ML applications. Before Instacart, Sahil developed ML training and inference platforms at Etsy.

    Gradual || Spotify || Apple
 
Women+ in Data and AI Summer Festival
Super excited to partner with community member Larysa Visengeriyeva for this in person Berlin Conference.

We aim to celebrate inclusivity and diversity in various tech communities by organizing a “Women+ in Data and AI” tech summer festival where we create opportunities to engage in technical, professional, and non-technical conversations in a positive, supportive environment. We will provide talks by women and gender minority individuals working in data engineering, data science, machine learning, and MLOps. Additionally, we will host non-technical workshops and networking events.

The festival is inclusive and to be attended by anyone regardless of gender, identity, or technical background.

  • One day. One Night
  • 100% female+ speakers
  • Two keynotes
  • Three tracks: Data Engineering, Data Science and Machine Learning, and MLOps
  • Everyone is welcome
  • Techno Night with female DJs
  • Where: Berlin Radialsystem
  • When: 30th of June

Looking forward to seeing all of you there!

 
Virtual Meet Up
  • Let's Talk About Raw Documents // Crag Wolfe

    MLOps community meetup #121! On February 22, we will be talking to
    Crag Wolfe, Infrastructure Team Lead at Unstructured.io.

    Let's Talk About Raw Documents.
    Modern ML pipelines still often need pre-processed documents. This isn't changing anytime soon, in fact, the appetite is growing. Unstructured.io is focused on extracting structured data from raw documents (pdf, pptx, html, etc).

    Already excited? Check out Unstructured.io's open-source libraries!
We Have Jobs!!
There is an official MLOps community jobs board. Post a job and get featured in this newsletter!

IRL Meetups
Bristol - February 16, 2023
Montreal, QC - February 17, 2023
Denver, CO - February 22, 2023
Amsterdam, NL - February 23, 2023
Edinburgh - February 23, 2023
Helsinki - March 2, 2023
Melbourne, VI - March 8, 2023
Toronto, ON - March 14, 2023
Bristol - March 29, 2023
Thanks for reading. This issue was written by Demetrios Brinkmann and Jessica Rudd. See you in Slack, Youtube, and podcast land. Oh yeah, and we are also on Twitter if you like chirping birds.



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