MLOps.community I Am Once Again Asking "What is MLOps?" // Oleksandr Stasyk // #308
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Apr 22, 2025 Oleksandr Stasyk, Engineering Manager of ML Platform at Synthesia, dives into the evolving landscape of MLOps. He highlights the need for solid software engineering practices amidst the rush to monetize AI. The conversation touches on the significance of data engineering and the pitfalls of 'vibe coding,' emphasizing structured practices. Oleksandr also discusses the importance of team collaboration for breaking down silos in MLOps and the critical role of early testing to mitigate risks in production. It’s a standout discussion on balancing innovation with practicality!
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Know When to Stop Vibe Coding
- Vibe coding enables rapid prototyping but leads to unmaintainable code without proper software engineering. - Knowing when to stop vibe coding is crucial to avoid technical debt and security breaches.
MLOps as DevOps with Feedback
- MLOps is essentially DevOps with extra steps focused on ML feedback loops. - Bridging researchers and production is key to iterating ideas efficiently and delivering value to customers.
Build Empathetic, Diverse Teams
- Build teams with diverse skills and empathy to understand challenges of other roles. - Avoid siloed org structures; enable people to address blockers and innovate together.