AI/ML Solutions Architect

Why Work At Nebius

Nebius is spearheading a new era in cloud computing to support the global AI economy. We provide our customers with the essential tools and resources to tackle real-world challenges and revolutionize industries, all without incurring massive infrastructure costs or needing to build extensive in-house AI/ML teams. Our employees work at the forefront of AI cloud infrastructure, collaborating with some of the most experienced and innovative leaders and engineers in the field.

Where We Work

Headquartered in Amsterdam and listed on Nasdaq, Nebius boasts a global presence with R&D hubs across Europe, North America, and Israel. Our team of over 800 employees includes more than 400 highly skilled engineers with deep expertise in hardware and software engineering, complemented by an in-house AI R&D team.

The Team

At Nebius AI Cloud, customer experience means addressing clients' challenges and directly influencing their success by solving complex AI and ML problems at massive GPU cloud scale. You will not only resolve issues but also play a pivotal role in shaping clients’ business success by optimizing their AI solutions. Working with advanced GPUs like H200, B200, and GB200, alongside modern ML frameworks, you'll significantly influence the development of the Nebius AI Cloud. This role offers unique experience at the intersection of infrastructure and AI. With minimal bureaucracy, you'll enjoy the freedom to innovate, take ownership, and drive change. Opportunities for growth are abundant within this vibrant and supportive professional community.

The Role

We are looking for an experienced AI/ML Solutions Architect to support our AI-focused customers leveraging Nebius services. In this role, you will act as a trusted advisor, partnering with clients to design scalable AI solutions, resolve technical challenges, and manage large-scale AI deployments involving hundreds to thousands of GPUs. You are welcome to work on-site in Amsterdam or remotely from any other EU country.

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.
• Hands-on knowledge of frameworks like PyTorch or JAX.
• Excellent verbal and written communication skills.

It will be an added bonus if you have:

• Expertise in deploying inference infrastructure for production workloads.
• Ability to transition ML pipelines from POC to scalable production systems.

Preferred tooling:

• Programming Languages: Python, Go, Java, C++
• Orchestration: Kubernetes (K8s), Slurm
• DevOps Tools: Git, Docker, Helm
• Infrastructure as Code (IaC): Terraform
• 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!

Key skills/competency

• AI/ML Solutions Design
• Cloud Technologies
• MLOps Engineering
• Distributed Training
• GPU Cloud Computing
• Customer Relationship Management
• Technical Communication
• PyTorch/JAX
• Kubernetes
• Terraform