DataTalks.Club MLOps in Corporations and Startups - Nemanja Radojkovic
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Mar 14, 2025 Nemanja Radojkovic, a Senior Machine Learning Engineer at Euroclear, shares his expertise in MLOps across both startups and corporations. He discusses the balance between flexibility and stability in different work environments, highlighting the unique challenges of implementing MLOps on tight budgets. The conversation covers navigating cloud complexities, the importance of selecting the right tools, and practical career advice for aspiring data scientists. Nemanja emphasizes mentorship and the evolving landscape of technology, making compelling points for both paths.
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Cloud Solutions for Startups
- Startups should prioritize cloud-based SaaS solutions over building their own.
- This is especially true when resources are limited.
Cloud Complexity
- Cloud solutions increase complexity due to many moving parts compared to on-premise.
- Nemanja prefers on-premise for its simplicity despite flexibility and scaling issues.
Tool Portability
- Prioritize portable tool choices at the start to avoid vendor lock-in.
- Migrating from specialized platforms can be difficult with legacy models.