Die Interviewer waren unfreundlich und erschienen zu spät zum Gespräch. Das Vorstellungsgespräch drehte sich um die eingereichten Antworten zur Fallstudie und die End-to-End-Bereitstellung von ML-Modellen in der Produktion. Sie stellten auch Fragen zu praktischen Erfahrungen mit LLMs.
Interview questions [1]
Question 1
Der Unterschied zwischen RandomForests und XGBoost.
I applied through a recruiter. The process took 3 weeks. I interviewed at Trade Republic in Jan 2024
Interview
1. Briefing with recruiter
2. Case study (submit within 1 week)
3. Technical Interview (discuss case study along with more DS and ML Engineering questions)
4. Product mindset interview (knowledge and problem solving skills about the area you're being hired for, behavioural/scenario questions)
5. Call about offer
Interview questions [1]
Question 1
[Techinical]
- How would you handle imbalanced data sets?
- How would you implement a model?
[Product mindset]
- How would you approach a problem if a company doesnt have any data for a specific product?
- What would you do if you have conflicting ideas with a product manager?
