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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Freelancing Journey
- Nemanja Radojkovic transitioned from corporate roles to freelancing in June 2023.
- He briefly worked with KBC and a Brussels-based startup before taking on a new project in Ghent.
Startup Agility
- Working with a startup felt like "flying" due to less bureaucracy.
- This experience made him question the slow pace of corporations.
Shoestring Budgets
- "Shoestring" budgets can refer to limitations in money, time, or human resources.
- Startups and corporations face different shoestring constraints.