J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Omnissa (Bengaluru)
Entretien
There were total of 5 to 6 rounds which tested technical competence.
1. Tech round (1hr+). discussing about the projects and AI/ML/GenAI algorithms from the fundamentals. (math and its intuitive)
2. Coding round. (1hr+) (starting from list comprehension to implementation of ML algorithms without using inbuild func, SQL (correlated queries, window fns etc), pyspark, HDFS concepts, fundamental ML concepts
3. Technical deep dive of AI/ML projects
4. Problem solving round (non-coding) (1hr)- core probability & statistics, distributed systems
5. Managerial round - Leadership + Tech + Behavioural
6. In-person interview (3hrs) - you meet with the team for another couple of rounds of discussion
Questions d'entretien [1]
Question 1
Implementation of Agentic AI applications, Agentic RAG, NL2SQL,
LLM (training + inference + quantization), Classical ML Algos (training + inference), Mathematical intuition of all the AI/ML algos, probability & Statistics etc
J'ai postulé en ligne. Le processus a pris 4 semaines. J'ai passé un entretien chez Omnissa
Entretien
The interview was brief enough as well as transparent too, there was around 4 rounds of interview for me including a leadership interview, the panel seems to be have cross team as well, and the I find the interview pretty decent good and fair
3 technical rounds for Horizon Perfomance Team
Most questions on Automation (Python)
few questions on OS Fundamentals (Threading, Process, OS tuning)
Scenarios base Questions on Perfomance, like if x CPU and y Memory is giving xy perf for an application what impact wil :
x+1 CPU ,
x-1 CPU
x+1 CPU and y+1 mem etc have on the application
overall more openended questions to understand the thought process of the individual.
Questions d'entretien [1]
Question 1
Two sum problem
Explain about Pytest hooks, fixturex, plugins
Discussion on Python Test Framework design