The overall process was very smooth and fast. Initial rounds were about DSA and Golang expertise. Hiring Manager round was about understanding the role's responsibilities in context of how it contributes to Omnissa's products and how my experience could play a part in it. The last, in-office, round was a combination of all the previous rounds.
Interview questions [1]
Question 1
- Average to hard level DSA problems
- Golang in depth discussion
- Deep technical dive into general challenges faced by the kind of products Omnissa offers.
I applied online. The process took 4 weeks. I interviewed at Omnissa
Interview
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
I applied through an employee referral. The process took 2 months. I interviewed at Omnissa (Bengaluru)
Interview
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
Interview questions [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
