Ho sostenuto un colloquio presso Nanonets (Bangalore Rural)
Colloquio
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.
Ho presentato la mia candidatura tramite un'agenzia di reclutamento personale. La procedura ha richiesto 4 settimane. Ho sostenuto un colloquio presso Nanonets (Poona) nel mese di giu 2023
Colloquio
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.
Domande di colloquio [1]
Domanda 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.
Ho presentato la mia candidatura online. La procedura ha richiesto 3 settimane. Ho sostenuto un colloquio presso Nanonets (Bengaluru) nel mese di nov 2022
Colloquio
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.
