Machine Learning Engineer at Rivago infotech inc
About the role
Role : MLOps Engineer Location : Scottsdale AZ (Onsite) Indents : We are looking for a skilled MLOps Engineer to design, deploy, and manage scalable machine learning pipelines in production. The role focuses on enabling seamless integration of ML models into enterprise systems with reliability, automation, and governance . Key Responsibilities Design and implement end-to-end ML pipelines from data ingestion to model deployment Build and manage CI/CD pipelines for ML models (training, testing, d…
Interview process at Rivago infotech inc
General interview process (this company's specific loop isn't published - reach out if you have insider info).
- Recruiter phone screen - typically 20-40 min
- Technical screen - 1 coding problem or take-home; format varies by company
- Onsite / virtual loop - typically 4-6 rounds over 2-3 weeks; exact split of coding, systems design, and behavioral varies by role and location
Platforms used: unknown — MiPrep tested compatible with major platforms
How to prepare
MiPrep helps you rehearse the specific cadence and question types Rivago infotech inc interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.