Very good very long and the interview was easy and everything goes smoothly with them Very good very long and the interview was easy and everything goes smoothly with them
The interview will be easy for senior ML Engineers who have a software background, based on their products the interview will mainly in NLP but you do expect any other DL or ML techniques
Interview questions [1]
Question 1
How do you handle a case when your model on production receives a lot of requests and your system goes down?
Technical Assessment (Optional)
Some companies require a coding test on platforms like HackerRank, Codility, or LeetCode.
Others may give a take-home assignment to build a simple API or solve a problem using Laravel.
.Technical Interview (1–2 Rounds)
Live coding: Solve a Laravel-related problem (e.g., build a simple API, query optimization, authentication).
System design: Discuss database structure, caching, scalability, and Laravel best practices.
Conceptual questions: Topics like RESTful APIs, Laravel services, middleware, authentication, unit testing, and queues.
4. Behavioral & HR Interview
Behavioral questions: "Tell me about a time you solved a complex problem."
Cultural fit: How you work in a team, deal with challenges, and communicate.
Salary negotiation & benefits discussion.
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