J'ai postulé en ligne. Le processus a pris 3 semaines. J'ai passé un entretien chez Nanonets (Bengaluru) en nov. 2022
Entretien
brilliant. I truly felt appreciated for what I knew and understood. I was judged based on my capability and what I bring to the table on the spot and not the outcome of my past experiences, which is not entirely in anyone's hands.
J'ai passé un entretien chez Nanonets (Bangalore Rural)
Entretien
The interview proved to be quite challenging, especially with the technical questions that rigorously tested my problem-solving abilities. These questions required a deep understanding and analytical thinking, pushing me to demonstrate my expertise and adaptability in real-time.
J'ai postulé via une agence de recrutement. Le processus a pris 4 semaines. J'ai passé un entretien chez Nanonets (Pune) en juin 2023
Entretien
Interview process had 3 rounds. 1. Short discussion with product team to scope out the profile and role match 2. Technical Round on the past projects, ML algorithms, different models, various use-cases etc. 3. Deep learning model coding round 4. CEO round - company fit, work culture, competencies, motivation etc.
Questions d'entretien [1]
Question 1
1. Different ML algorithms with their use cases. Advantages and limitations of it. On-spot use case for deep learning model e.g. Table detection from images 2. Modeling pipeline for a DL model (image captioning). More focused on implementing the model architecture, and data pipeline, and a bit about deployment. Free to use the library documentation.
