AI Engineer - Professional Services

The role

We’re looking for a hands-on AI Engineer - Professional Services to join our team. You will deliver GPU-powered AI/ML solutions for enterprise clients, focusing on implementation, integration, and optimization of production-grade systems.

You’re welcome to work remotely in the United States or Canada. 

Your responsibilities will include: 

• Deliver AI Professional Services including 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 on GPU clusters
• Automate MLOps pipelines and manage the entire model lifecycle
• Develop clear architecture documentation and operational guides
• Lead technical efforts during service delivery engagements
• Contribute to internal tooling, frameworks, and best practices

We expect you to have: 

• 5 - 10+ years experience in ML engineering or MLOps
• 3+ years in professional services or technical consulting roles
• Strong proficiency in Python; hands-on 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

It will be an added bonus if you have: 

• Experience with MLflow, Apache Airflow, or Kubeflow
• Familiarity with cloud ML platforms like AWS, GCP, Azure ML, or NVIDIA NGC
• Experience managing hybrid cloud or on-prem GPU infrastructure
• Background working with technology partners and integrating third-party solutions