AI/Machine Learning Engineer with Databricks at EPAM Systems
About the role
We are looking for a hands-on AI/Machine Learning Engineer with proven experience deploying and running optimized feature engineering (offline and online), model training, and inference pipelines. Experience with unstructured data processing and Spark Streaming is a must. Real-time feature generation and inference are required for this project, along with batch pipelines for model training. Responsibilities Design and optimize feature engineering pipelines for both batch and real-time workloads…
Interview process at EPAM Systems
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 EPAM Systems interviewers score on. Upload your resume and this job description; MiPrep generates a rehearsed answer set in your voice from your own projects.