MLOps in Corporations and Startups - Nemanja Radojkovic
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In this podcast episode, we talked with Nemanja Radojkovic about MLOps in Corporations and Startups.About the Speaker: Nemanja Radojkovic is Senior Machine Learning Engineer at Euroclear.In this event,we’re diving into the world of MLOps, comparing life in startups versus big corporations. Joining us again is Nemanja, a seasoned machine learning engineer with experience spanning Fortune 500 companies and agile startups. We explore the challenges of scaling MLOps on a shoestring budget, the trade-offs between corporate stability and startup agility, and practical advice for engineers deciding between these two career paths. Whether you’re navigating legacy frameworks or experimenting with cutting-edge tools.1:00 MLOps in corporations versus startups6:03 The agility and pace of startups7:54 MLOps on a shoestring budget12:54 Cloud solutions for startups15:06 Challenges of cloud complexity versus on-premise19:19 Selecting tools and avoiding vendor lock-in22:22 Choosing between a startup and a corporation27:30 Flexibility and risks in startups29:37 Bureaucracy and processes in corporations33:17 The role of frameworks in corporations34:32 Advantages of large teams in corporations40:01 Challenges of technical debt in startups43:12 Career advice for junior data scientists44:10 Tools and frameworks for MLOps projects49:00 Balancing new and old technologies in skill development55:43 Data engineering challenges and reliability in LLMs57:09 On-premise vs. cloud solutions in data-sensitive industries59:29 Alternatives like Dask for distributed systems🔗 CONNECT WITH NEMANJALinkedIn - / radojkovic Github - https://github.com/baskervilski🔗 CONNECT WITH DataTalksClubJoin the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/...Check other upcoming events - https://lu.ma/dtc-events LinkedIn - / datatalks-club Twitter - / datatalksclub Website - https://datatalks.club/