Ho sostenuto un colloquio presso Awiros (Gurgaon, Haryana)
Colloquio
1. Round one was resume shortlisting 2. Round two had an online interview session that ensured if had the required skillset, or no 3. Round three was with the CEO, and few others from the team. All were very amiable and the process was smooth. Overall, the interview process was challenging and intense, but it also provided an opportunity to showcase my skills, passion, and potential to excel in the field of computer vision.
Domande di colloquio [1]
Domanda 1
Basic Questions about Classical and Deep Learning Computer Vision. Had to code live too, given their problem statement
Ho presentato la mia candidatura tramite l'università. Ho sostenuto un colloquio presso Awiros (Gurgaon, Haryana) nel mese di lug 2025
Colloquio
The interview process was online, starting with resume shortlisting, followed by a Google Form without a job description. It was unclear how candidates were selected for the coding round. After the test, a final interview was conducted. Overall, the process lacked transparency and better communication could have improved the candidate experience.
Ho presentato la mia candidatura tramite un'agenzia di reclutamento personale. Ho sostenuto un colloquio presso Awiros (Gurgaon, Haryana) nel mese di mar 2024
Colloquio
The process was smooth the technical questions ask were good overall good experience, the turn back time is too slow though took them 4 month to schedule 1 st interview and 1 month to get back after I dropped from the interview that was one drawback
La procedura ha richiesto 2 giorni. Ho sostenuto un colloquio presso Awiros (Gurgaon, Haryana) nel mese di dic 2023
Colloquio
Mostly Computer Based questions on image processing and object detection tasks using Convolutional Neural networks.
In-depth questions about projects as my resume for Deep Learning based and questions about VGG architecture.
Domande di colloquio [1]
Domanda 1
Q. What is the role of learning rate?
Q. DSA question regarding finding unique integers in an array
Q. Questions about image inputs and outputs in Yolo architecture.