Experience in a Center of Excellence
Experience in a Center of Excellence
Lavorare con grandi aziende e tecnologie sempre all'avanguardia.
Acquisire expertise in diverse industrie ed estendere il proprio set di skill ben oltre quelle di un normale Data Scientist o ML Engineer, imparando a deployare architetture diverse e complesse sia in scenari cloud che on-prem.
Formazione gratuita e incoraggiata.
Ritmi intensi. Lavorando su progetti multipli, è impossibile ricevere straordinari.
Turni mediamente ben sopra le 8 ore, e spesso capita di arrivare a mezzanotte e oltre.
Nonostante la formazione sia gratuita e incoraggiata, è quasi impossibile trovare il tempo o l'energia per conseguire frequentemente formazioni.
Da L10 in su, le promozioni sono davvero difficili da ottenere.
Structure allocations considering at least 1 day per week dedicated to training. Listen more to the feedback of younger staff and offer raises/promotions more easily, especially for those not assigned to large clients/projects. Aligning the speed of career progression for Technology workers compared to Strategy could greatly reduce the turnover rate.
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Accenture Interview Experiences
Machine Learning Engineer
The interview was quite basic, focused mainly on getting to know my profile and understanding how I would act in different work situations. From the beginning, I could tell that the goal was to get a clear view of who I am professionally, what kind
Machine Learning Engineer
Profile Screening checks resume fit. Technical Round covers: * ML concepts * forecasting * pipelines * MLOps * coding Behavioral Round focuses on: * project discussion * teamwork * communication * challenges * problem-solving alignment with role ex
Machine Learning Engineer
Questions on machine learning, clustering algorithms, advantages and disadvantages, cases in which to use and cases in which it makes no sense to use certain models. Finally, an easy logic question.
Machine Learning Engineer
December 5, 2025The interview was quite basic, focused mainly on getting to know my profile and understanding how I would act in different work situations. From the beginning, I could tell that the goal was to get a clear view of who I am professionally, what kind
Machine Learning Engineer
Pune, Maharashtra, IndiaDecember 10, 2025Profile Screening checks resume fit. Technical Round covers: * ML concepts * forecasting * pipelines * MLOps * coding Behavioral Round focuses on: * project discussion * teamwork * communication * challenges * problem-solving alignment with role ex
Machine Learning Engineer
ItalyApril 22, 2025Questions on machine learning, clustering algorithms, advantages and disadvantages, cases in which to use and cases in which it makes no sense to use certain models. Finally, an easy logic question.
