Senior Applied AI Solutions Engineer

The role sits at the intersection of advanced ML engineering and product impact. You will spend roughly half your time in the field helping new customers move from POC to production, run technical onboarding, and work hands-on through their ML stack. The other half you will spend building—prototyping applied AI use cases that show what's possible on Nebius' platform, exploring emerging techniques before they become mainstream, and turning that expertise into concrete product direction. You will contribute to demos for sales and engineering teams, support new customers through POC design and onboarding, and develop reusable technical assets such as notebooks and reference architectures. You will work with PyTorch, HuggingFace, CUDA fundamentals, Kubernetes for ML, MLflow or equivalent, and vector databases; experience with enterprise ML teams and cloud/Ai infrastructure is a plus.

The text above is the employer's original job description, extracted as written. Other details on this page, like salary, responsibilities, and requirements, are interpreted from that text by our system, not values the employer explicitly confirmed, so treat them as our best interpretation rather than verified facts.