Senior Applied AI Solutions Engineer

# AI/ML Solutions Engineer

Nebius is seeking an experienced AI/ML engineer to bridge the gap between product and customers. This role combines deep ML engineering with direct customer impact.

## Key Responsibilities

• Build prototypes and demos across the product portfolio (serverless inference, databases, MLflow, MLOps, Physical AI, HCLS)
• Support new customers hands-on through POC design, technical onboarding, and validation
• Act as the bridge between customer ML teams and the platform during critical early months
• Go deep on emerging applied AI techniques and turn findings into working prototypes and product recommendations
• Feed the product roadmap with grounded feedback from customer interactions
• Develop reusable technical assets (notebooks, reference architectures, benchmark results)

## Expected Experience

• Fine-tuned large models, debugged distributed training jobs
• Built production RAG or agentic pipelines
• Optimized inference on GPU infrastructure
• Fluent in modern ML stack: PyTorch, HuggingFace, CUDA, Kubernetes, MLflow, vector databases
• Worked with enterprise ML teams (solutions engineer, customer engineer, or ML engineer)
• Read and implement research papers
• Strong communication skills across technical and business audiences

## Bonus Experience

• Experience in Physical AI/robotics/simulation, HCLS, or enterprise AI applications
• MLOps at scale (Kubeflow, Metaflow, Argo, Ray)
• Prior work at cloud provider or AI infrastructure company
• Published technical work (notebooks, talks, blog posts)