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      Fractal

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      Ricerche correlate: Recensioni su Fractal | Offerte di lavoro di Fractal | Stipendi di Fractal | Benefit di Fractal
      Colloqui di FractalColloqui per MLOps Engineer presso FractalColloquio di Fractal


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      Colloquio per MLOps Engineer

      30 mag 2022
      Dipendente anonimo
      Bengaluru
      Offerta accettata
      Esperienza positiva
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. Ho sostenuto un colloquio presso Fractal (Bengaluru) nel mese di ago 2020

      Colloquio

      There will be two rounds of technical interview, one round of client interview and a HR round. The technical rounds are tough, mostly in depth question of the technologies and tech stack you work with. The client interview is basically half technical and half managerial round.

      Domande di colloquio [1]

      Domanda 1

      Questions on Docker, CI CD pipelines, Jenkins, Machine Learning models, Deployment strategies, monitoring system, model management, training pipelines and basic cloud technologies - AWS, GCP
      Rispondi alla domanda
      1

      Altre recensioni di colloqui per MLOps Engineer presso Fractal

      Colloquio per MLOps Engineer

      12 dic 2022
      Candidato anonimo a colloquio
      Gurgaon, Haryana
      Nessuna offerta
      Esperienza negativa
      Colloquio difficile

      Candidatura

      Ho presentato la mia candidatura tramite un selezionatore. La procedura ha richiesto una settimana. Ho sostenuto un colloquio presso Fractal (Gurgaon, Haryana) nel mese di nov 2022

      Colloquio

      First round with a senior engineer. It was a pretty good conversation. General questions around Python, SQL, Git, CI/CD. He even asked me to relax a bit, since I seemed stressed to him (tbh, I was just tired, but kudos for compassion). Then there was a technical+managerial round (which they call an apex round) with the principal architect who supposedly leads MLOps. This was one of my worst (if not the worst) interview experiences ever. The dude kept phrasing his questions like "since you uttered x, explain me y", extra emphasis on the word 'utter'. Almost sounded like an interrogator in the skin of an interviewer. Even worse, he kept interrupting me throughout the interview, which was really distracting. Interviews are usually high pressure affairs, and the onus is on interviewers to put the candidate at ease. Interrupting them continuously will stress them out and make them lose focus. In all fairness, the questions were hard, and I probably wouldn't have cleared the round, but the attitude of this person ensured that I couldn't give my best. Another annoying thing was that he kept his video off, but asked me to turn mine on. It feels really jarring to talk to a blank screen, especially if my own video is on. My interactions with the HR, and the first interviewer were really nice, but that's all there was to it. All in all, seems like I dodged a bullet here. Had I cleared all the rounds, accepted the offer, and then reported to this guy, I probably would've quit in a month anyway. Seems like interviewers in later stages of the process need a 101 class in how to conduct an interview. I say this as someone who has been on both sides of technical interviews. I'm sure most folks there are amazing interviewers and are well-versed in what to do (and not to do) while conducting one, but a refresher wouldn't hurt anyone.

      Domande di colloquio [1]

      Domanda 1

      Medium to advance level python. Some SQL questions. Methodologies followed in previous projects.
      Rispondi alla domanda
      2

      Colloquio per MLOps Engineer

      3 giu 2022
      Candidato anonimo a colloquio
      Nessuna offerta
      Esperienza positiva
      Colloquio nella media

      Candidatura

      Ho sostenuto un colloquio presso Fractal

      Colloquio

      I was shortlisted for technical test. It contained 4 questions: 2 were based on SQL, 1 on Data Structures and last one was ML question to predict wine quality. The feedback system at Fractal is very poor.

      Domande di colloquio [1]

      Domanda 1

      It contained 4 questions: 2 were based on SQL, 1 on Data Structures and last one was ML question to predict wine quality.
      Rispondi alla domanda
      1

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