Machine Learning Engineer applicants have rated the interview process at Accenture with 3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 100% positive. To compare, the company-average is 68.4% positive. This is according to Glassdoor user ratings.
Candidates applying for Machine Learning Engineer roles take an average of 14 days to get hired, when considering 1 user submitted interviews for this role. To compare, the hiring process at Accenture overall takes an average of 29 days.
Common stages of the interview process at Accenture as a Machine Learning Engineer according to 1 Glassdoor interviews include:
Skills test: 33%
Background check: 33%
Phone interview: 33%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 months. I interviewed at Accenture (Mumbai) in Dec 2017
Interview
Interview scheduling process took almost 2 months as one day out of blue i got a call from HR asking for F2F interview which i agreed considering it would be nice opportunity but nothing happens as any senior person with bunch of skills in latest and greatest technologies would expect to see.
1) They conducted telephone interview , if there was no F2F then they should not have called me there as i took whole day leave for this interview.
2) Recruiter was looking for some specific area only at technical level but i had so many new things to offer specially in Big data Analytics related stuff like Kafka, Spark, click stream analytics.
3) I am senior level person expecting recruiter would have lot of interest to know what i am doing but he asked me overall experience and just asked me what is Linear Regression and said i am done with interview.
4) its was very sad to see that no body had seen my resume before calling me.....they should not have short listed my profile as i felt they are looking for Developer level people and i am working as Solution Architect with lot of focus on research and development and consulting on all recent technologies which comes under data Analytics and AI.
Profile Screening checks resume fit. Technical Round covers ML concepts, forecasting, pipelines, MLOps, and coding. Behavioral Round focuses on project discussion, teamwork, communication, challenges, and problem-solving alignment with role expectations.
La entrevista fue bastante básica, enfocada principalmente en conocer mi perfil y entender cómo actuaría en diferentes situaciones laborales. Desde el inicio, pude notar que el objetivo era obtener una visión clara de quién soy profesionalmente, qué tipo de experiencias he tenido y cómo me desenvuelvo en un entorno de trabajo. Las preguntas iban dirigidas a identificar mis fortalezas, mis prioridades y la forma en que suelo organizarme.
Interview questions [1]
Question 1
Las preguntas iban dirigidas a identificar mis fortalezas, mis prioridades y la forma en que suelo organizarme.
Domande su machine learning, algoritmi di clustering, vantaggi e svantaggi, casi in cui usare e casi in cui non ha senso usare determinati modelli
Infine una domanda facile di logica