Machine Learning Engineer at Rivago infotech inc
About the role
Position: ML engineer Location: Mountain View, CA (Onsite) Remote / WFO / Hybrid: Onsite Hire Type (FTE/Contract): Contract What you'll do Build feature pipelines on EMR Serverless Spark and Event streaming that turn lake data into versioned, point-in-time-correct behavioral features per user and per identity. Own feature management: feature definitions, registry, backfills, freshness and drift monitoring, and making sure training and inference read the same features. Train and evaluate models …
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.