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:
Background check: 33%
Phone interview: 33%
Skills test: 33%
Here are the most commonly searched roles for interview reports -
I applied online. The process took 2 weeks. I interviewed at Accenture (Manila, Manila) in Nov 2024
Interview
The interview process was straightforward and easy to navigate, making it a stress-free experience. The interviewer was respectful, transparent about the company’s technical environment, and asked detailed, specific questions that felt relevant and insightful. Overall, the process was quick, efficient, and well-structured.
Interview questions [1]
Question 1
Can you provide a brief overview of your educational background and professional experience, highlighting key technical skills or projects you’ve worked on?
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