Launched in November 2023, the Nebius platform provides high-end infrastructure and tools for training, fine-tuning and inference. Based in Europe with a global footprint we aspire to become the leading AI cloud for AI practitioners around the world.
Nebius is built around the talents of around 400 highly skilled engineers with a proven track record in developing sophisticated cloud and ML solutions and designing cutting-edge hardware. This allows all the layers of the Nebius cloud – from hardware to UI – to be built in-house, differentiating Nebius from the majority of specialized clouds. As a result, Nebius customers get a true hyperscaler-cloud experience tailored for AI practitioners.
As an NVIDIA preferred cloud service provider, Nebius offers the latest NVIDIA GPUs including H100, L40S, with H200 and Blackwell chips coming soon.
Nebius owns a data center in Finland, built from the ground up by the company’s R&D team. We are expanding our infrastructure and plan to add new colocation data centers in Europe and North America already this year, and to build several greenfield DCs in the near future.
Our Finnish data center is home to ISEG, the most powerful commercially available supercomputer in Europe and the 19th most powerful globally (Top 500 list, June 2024). It also epitomizes our commitment to sustainability, with energy efficiency levels significantly above the global average and an innovative system that recovers waste heat to warm 2,000 residential buildings in the nearby town of Mäntsälä.
Nebius is headquartered in Amsterdam, Netherlands, with R&D and commercial hubs across North America, Europe and Israel.
The role
We seek an experienced Specialist Solutions Architect to support AI-focused customers leveraging Nebius services. In this role, you will be a trusted advisor, collaborating with clients to design scalable AI solutions, resolve technical challenges and manage large-scale AI deployments involving hundreds to thousands of GPUs.
You’re welcome to work remotely from the United States or Canada.
Your responsibilities will include:
- Designing customer-centric solutions that maximize business value and align with strategic goals.
- Building and maintaining long-term relationships to foster trust and ensure customer satisfaction.
- Delivering technical presentations, producing whitepapers, creating manuals and hosting webinars for audiences with varying technical expertise.
- Collaborating with engineering and product teams to effectively prioritize and relay customer feedback.
We expect you to have:
- 3+ years of experience with cloud technologies in MLOps engineering, Machine Learning engineering or similar roles.
- Strong understanding of ML ecosystems, including models, use cases and tooling.
- Proven experience in setting up and optimizing distributed training pipelines across multi-node and multi-GPU environments.
- Expertise in deploying inference infrastructure for production workloads.
- Ability to transition ML pipelines from POC to scalable production systems.
- Hands-on knowledge of frameworks like PyTorch or JAX.
- Excellent verbal and written communication skills.
Preferred tooling
- Programming Languages – Python, Go, Java, C++
- Infrastructure as Code (IaC) – Terraform, Ansible
- Orchestration – Kubernetes (K8s), Slurm
- DevOps Tools – Git, Docker, Helm
- Big Data Frameworks – Spark, Kafka, Hadoop
- Databases – SQL, NoSQL (including vector databases)
- ML Frameworks and Libraries – PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn
We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!
Top Skills
What We Do
Cloud platform specifically designed to train AI models
