Good learning benefits.
Long-term career.
Working from the office and US timings.
The flow of the interview was: * Introduction * Project, then a bit more on how you solved what you solved * GenAI concepts, basics like LLM, transformer, RAG architecture * ML concepts
The first interview was an introductory one. The second interview was more technical, with questions about my background (in person). During the third one, I had to present my solution to a business case involving GenAI.
They started with the basics of DevOps, then most of the questions were on CI/CD, Kubernetes, and Terraform. There were also some advanced questions on Kubernetes, like custom auto-scaling of pods without relying on CPU and memory, using HPA.
The flow of the interview was: * Introduction * Project, then a bit more on how you solved what you solved * GenAI concepts, basics like LLM, transformer, RAG architecture * ML concepts
The first interview was an introductory one. The second interview was more technical, with questions about my background (in person). During the third one, I had to present my solution to a business case involving GenAI.
They started with the basics of DevOps, then most of the questions were on CI/CD, Kubernetes, and Terraform. There were also some advanced questions on Kubernetes, like custom auto-scaling of pods without relying on CPU and memory, using HPA.