J'ai postulé via une agence de recrutement. Le processus a pris 2 jours. J'ai passé un entretien chez Fidelity Investments (Boston, MA) en juin 2024
Entretien
I applied through a staffing company and got the interview .
Round 1: Introduction and Resume walkthrough
Round 2: Technical Interview - Hacker rank, database and in-depth project questions
Did not get called for next rounds. I sincerely feel that rather than making somebody solve a hackerrank problem (leetcode - hard) that is completely unrelated to day to work in 20 minutes is not a good measure of a person's ability to do the job.
Questions d'entretien [1]
Question 1
1. Lots of project based questions
2. AWS questions, very specific questions that one would only by referring the documentation.
J'ai postulé via la recommandation d'un employé. Le processus a pris 2 mois. J'ai passé un entretien chez Fidelity Investments (Boston, MA) en mai 2023
Entretien
There was a recruiter call. Followed my coding rounds - Python and SQL. Then another system design round. I was ghosted by the recruiter. Got a reject on portal 2 months later.
Questions d'entretien [1]
Question 1
1. Python - subarray sum equals k
2. resume questions
J'ai postulé via un recruteur. Le processus a pris 3 semaines. J'ai passé un entretien chez Fidelity Investments en janv. 2022
Entretien
HR Contacted me regarding the ML Engineer role. The interview process was divided into 3 rounds. The first round is a phone screen with the recruiter asking questions about the experience required for the role.
The second round is a technical interview with a focus on Python and SQL. The final round is a panel with a focus on Machine Learning Concepts, Situational Awareness, and Behavioural questions.
The HR did not respond after the final interviews and never heard back from the company even after numerous attempts of contacting.
Questions d'entretien [1]
Question 1
First Round
1. Basics of Python (Data Structures, OOP Concepts, and basic coding mechanisums)
2. SQL (Basic Querying, Window functions, and joins)
Second Round
1. Machine Learning Concepts
