Ich habe erklärt, wie ich LLM- und RAG-basierte Systeme von Grund auf konzipiere (System Design) und auf Cloud-Plattformen bzw. Hyperscalern skalierbar aufsetze. Dabei bin ich besonders darauf eingegangen, wie wichtig kontinuierliche Evaluationen (Evals) und ein lückenloses Monitoring (Observability) im produktiven Betrieb sind, um die Qualität von Machine-Learning-Modellen nachhaltig zu sichern.
Interview questions [1]
Question 1
Maschinelles Lernen, große Sprachmodelle (LLMs), RAG, Observability und Evaluationen, Cloud und Hyperscaler sowie Systemdesign.
I applied online. The process took 2 weeks. I interviewed at KI group (Munich, Bavaria) in Nov 2023
Interview
I had an interview with the recruiter who was very professional and pleasant to talk to. There were some generic questions about career, skills, cultural fil. Unfortunately i was not select further.
I applied online. I interviewed at KI group in Sep 2022
Interview
Initial screening, and two or three more interviews. After that, phone interviews for some legal aspects. First, I applied for startup BD role, hen I go a case study via my email and initial introduction about the company and what I will have to do in the case (BD for supply and demand channels). After giving me one week to finish the case, I got an email a few days later requesting to do an interview, and another interview, and one more interview. They said all interviews had positive feedbacks, so I star receiving calls from HR to get more details about my legal situation \(Residence etc...)
Interview questions [1]
Question 1
1. Speak about your pas experiences who are you, where do you come from. 2. what did you do in your last role as a "BD"... 3. Studies and relocation questions-apply for situation-. 4. Some personal chats (about lifestyle etc...)