Acudí a una entrevista en Nanonets (Bangalore Rural)
Entrevista
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.
Solicité el puesto a través de una agencia de empleo. El proceso duró 4 semanas. Acudí a una entrevista en Nanonets (Pune) en jun 2023
Entrevista
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.
Preguntas de entrevista [1]
Pregunta 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.
Envié una solicitud electrónica. El proceso duró 3 semanas. Acudí a una entrevista en Nanonets (Bengaluru) en nov 2022
Entrevista
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.
