Envié una solicitud electrónica. Acudí a una entrevista en Totality Corp en oct 2023
Oferta aceptada
Experiencia positiva
Entrevista normal
Solicitud
Envié una solicitud electrónica. El proceso duró 1 semana. Acudí a una entrevista en Totality Corp (Gurgaon, Haryana) en nov 2023
Entrevista
I had an incredibly positive interview experience that truly mirrored the company's dedication to fostering a supportive work environment. The insightful questions and welcoming atmosphere showcased their commitment. The interview comprised three technical rounds followed by one with HR.
Preguntas de entrevista [1]
Pregunta 1
The interview process included a thorough examination of my resume, with detailed questioning and scrutiny of my qualifications and experiences.
There were 3 technical rounds and 1 HR round to be held as I applied for Python & AI/ML Developer role,
But after the first interview I got offered the first internship role after which I might be converted to permanent role.
The Interviewer asked about basic Deep learning concepts and architecture like gradient descent, CNN's etc. How to avoid overfiiting, data augmentation and basic ML and DL concepts.
Preguntas de entrevista [1]
Pregunta 1
The Interviewer asked about basic Deep learning concepts and architecture like gradient descent, CNN's etc. How to avoid overfiiting, data augmentation and basic ML and DL concepts. Andrew NG course was also something we discussed about.
Envié una solicitud electrónica. El proceso duró 5 días. Acudí a una entrevista en Totality Corp en ago 2023
Entrevista
My interview experience was exceptionally positive. The insightful questions and friendly atmosphere truly reflected the company's commitment to a nurturing work environment. There were three technical rounds and one HR round.
Preguntas de entrevista [1]
Pregunta 1
In first round questions were purely from AI/ML and deep learning. In 2nd round, I was asked about Technical questions related to my resume and previous work experience. Third round was with the founder, where we mostly talked about machine learning deployment and use cases.
