Centralized or Decentralized ML Platform? // Jelmer Borst and Daniela Solis // MLOps Podcast

The AI Dream Team: Strategies for ML Recruitment and Growth // MLOps Podcast #267 with Jelmer Borst, Analytics & Machine Learning Domain Lead, and Daniela Solis, Machine Learning Product Owner, of Picnic.
// Abstract
Like many companies, Picnic started out with a small, central data science team. As this grows larger, focussing on more complex models, it questions the skillsets & organisational set up.
Use an ML platform, or build ourselves?
A central team vs. embedded?
Hire data scientists vs. ML engineers vs. MLOps engineers
How to foster a team culture of end-to-end ownership
How to balance short-term & long-term impact
// Bio
Jelmer Borst
Jelmer leads the analytics & machine learning teams at Picnic, an app-only online groceries company based in The Netherlands. Whilst his background is in aerospace engineering, he was looking for something faster-paced and found that at Picnic. He loves the intersection of solving business challenges using technology & data. In his free time loves to cook food and tinker with the latest AI developments.
Daniela Solis Morales
As a Machine Learning Lead at Picnic, I am responsible for ensuring the success of end-to-end Machine Learning systems. My work involves bringing models into production across various domains, including Personalization, Fraud Detection, and Natural Language Processing.
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// Related Links
Website: jobs.picnic.ap...
Global Feature Store // Gottam Sai Bharath & Cole Bailey // MLOps Podcast #263: • Global Feature Store /...
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Timestamps:
[00:00] Jelmer and Daniela's preferred coffee
[00:37] Takeaways
[03:46] Please like, share, leave a review, and subscribe to our MLOps channels!
[03:58] Use case evolution review
[08:24] Centralized ML strategy
[11:53] Managing zombie models effectively
[15:52] Clean data and collaboration
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