AI Engineer - Professional Services - Remote

Overview

Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field.

In Short

• Deliver GPU-powered AI/ML solutions for enterprise clients.
• Focus on implementation, integration, and optimization of production-grade systems.
• Work remotely in the US.
• Engage in model training, fine-tuning, and inference optimization.
• Integrate Nebius AI solutions into diverse client environments.
• Design and set up scalable ML training and inference workflows.
• Automate MLOps pipelines and manage the model lifecycle.
• Develop architecture documentation and operational guides.
• Lead technical efforts during service delivery engagements.
• Contribute to internal tooling, frameworks, and best practices.

Requirements

• 5–10+ years experience in ML engineering or MLOps.
• 3+ years in professional services or technical consulting roles.
• Strong proficiency in Python; experience with PyTorch or TensorFlow.
• Proven success deploying ML models to production at scale.
• Skilled with Kubernetes, Docker, Terraform, and CI/CD pipelines.
• Good understanding of the GPU stack: CUDA, drivers, and relevant libraries.
• Excellent communication skills; comfortable working independently with clients.
• Fluent in English.

Benefits

• Competitive salary and comprehensive benefits package.
• Opportunities for professional growth within Nebius.
• Hybrid working arrangements.
• A dynamic and collaborative work environment that values initiative and innovation.