Process
It was good.
The interviewer was friendly and the total process took about 60 minutes.
He also gave pointers that could help me for my next level of interview. A couple of programming questions can be expected.
Questions
Describe CI/CD tools that you've used.
Was this helpful?
Interview Statistics
The following metrics were computed from 2 interview experiences for the Capgemini Machine Learning Engineer role in United States.
Success Rate
50%
Pass Rate
Capgemini's interview process for their Machine Learning Engineer roles in the United States is fairly selective, failing a large portion of engineers who go through it.
Experience Rating
Positive100%
Neutral0%
Negative0%
Candidates reported having very good feelings for Capgemini's Machine Learning Engineer interview process in United States.
Capgemini Work Experiences
4.0
Good Raises, Some Stress
Machine Learning Engineer • Former Employee
Pune, Maharashtra, India
March 4, 2025
Pros: Provides quicker promotions and good raises if you are a hard-working employee. Most of the seniors are understanding and always ready to help.
Cons: Some projects can become too hectic. You need to manage your own work-life balance.
3.0
Safe and flexible employment
Machine Learning Engineer • Current Employee
Gothenburg, Västra Götaland County, Sweden
September 5, 2024
Pros: Solid contracts with customers, remote work possible (depending on customer), and a decent salary.
Cons: It is difficult to care about company culture on a global scale.
4.0
Great Learning, Tough Onboarding
Machine Learning Engineer • Current Employee
Hyderābād, Telangana, India
January 1, 2025
Pros: Good management.
Good learning and great experience.
Cons: The onboarding process is so complex.
HRs are not giving proper guidance during onboarding.
- 4.0Good Raises, Some StressMachine Learning Engineer • Former EmployeePune, Maharashtra, IndiaMarch 4, 2025Pros: Provides quicker promotions and good raises if you are a hard-working employee. Most of the seniors are understanding and always ready to help.Cons: Some projects can become too hectic. You need to manage your own work-life balance.
- 3.0Safe and flexible employmentMachine Learning Engineer • Current EmployeeGothenburg, Västra Götaland County, SwedenSeptember 5, 2024Pros: Solid contracts with customers, remote work possible (depending on customer), and a decent salary.Cons: It is difficult to care about company culture on a global scale.
- 4.0Great Learning, Tough OnboardingMachine Learning Engineer • Current EmployeeHyderābād, Telangana, IndiaJanuary 1, 2025Pros: Good management. Good learning and great experience.Cons: The onboarding process is so complex. HRs are not giving proper guidance during onboarding.
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