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

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.