ML Engineer applicants have rated the interview process at EPAM Systems with 3.3 out of 5 (where 5 is the highest level of difficulty) and assessed their interview experience as 50% positive. To compare, the company-average is 59.1% positive. This is according to Glassdoor user ratings.
Candidates applying for ML Engineer roles take an average of 22 days to get hired, when considering 4 user submitted interviews for this role. To compare, the hiring process at EPAM Systems overall takes an average of 23 days.
Common stages of the interview process at EPAM Systems as a ML Engineer according to 4 Glassdoor interviews include:
Skills test: 40%
One on one interview: 40%
Phone interview: 20%
Here are the most commonly searched roles for interview reports -
The interview process started with a recruiter pre-screening call to discuss my background, experience in machine learning and AI, and role expectations. This was followed by a coding session where I solved algorithmic and programming problems. Additional technical interviews focused on machine learning concepts, system design, model development, and practical AI applications. The process also included discussions about previous projects and problem-solving approaches.
I applied online. The process took 2 weeks. I interviewed at EPAM Systems (Ho Chi Minh City) in Mar 2025
Interview
Interview process was informal, easy going. Interviewer was friendly and accommodating. I interviewed online (this is a remote position). I had a HR call to test my English skill, then to a technical interview round.
I applied online. I interviewed at EPAM Systems (Bangla) in Apr 2025
Interview
30 minutes hr, 90 minutes technical that codes were based on python not ml coding and the theoric questions were very long and detailed. the interview was not stressful the interviewer was very polite and calm and also helpful