Nebius is leading a new era in cloud computing to serve the global AI economy by creating tools and resources for customers to solve real-world challenges.
The company is headquartered in Amsterdam and has a global footprint with R&D hubs across Europe, North America, and Israel.
The team consists of over 800 employees, including more than 400 highly skilled engineers with expertise in hardware and software engineering.
The role is for a hands-on AI Engineer to join the Professional Services team, focusing on delivering GPU-powered AI/ML solutions for enterprise clients.
Responsibilities include delivering AI Professional Services such as model training, fine-tuning, and inference optimization, integrating Nebius AI solutions into client environments, designing scalable ML training and inference workflows on GPU clusters, automating MLOps pipelines, managing the model lifecycle, developing architecture documentation, leading technical efforts during service delivery, and contributing to internal tooling and best practices.
The position allows for remote work in the US.
Requirements:
Candidates must have 5–10+ years of experience in ML engineering or MLOps.
A minimum of 3 years in professional services or technical consulting roles is required.
Strong proficiency in Python and hands-on experience with PyTorch or TensorFlow is necessary.
Proven success in deploying ML models to production at scale is essential.
Candidates should be skilled with Kubernetes, Docker, Terraform, and CI/CD pipelines.
A good understanding of the GPU stack, including CUDA, drivers, and relevant libraries, is required.
Excellent communication skills and the ability to work independently with clients are necessary.
Fluency in English is mandatory.
It is a bonus to 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, and a background working with technology partners and integrating third-party solutions.
Benefits:
The position offers a competitive salary and a comprehensive benefits package.
There are opportunities for professional growth within Nebius.
Hybrid working arrangements are available.
The work environment is dynamic and collaborative, valuing initiative and innovation.
