AI/ML Specialist Solutions Architect

Stack

Responsibilities

• ▹Support AI-focused customers leveraging Nebius services as a trusted advisor
• ▹Collaborate with clients to design scalable AI solutions, resolve technical challenges, and manage large-scale AI deployments (hundreds to thousands of GPUs)
• ▹Design customer-centric solutions that maximize business value and align with strategic goals
• ▹Build and maintain long-term relationships to foster trust and ensure customer satisfaction
• ▹Deliver technical presentations, produce whitepapers, create manuals, and host webinars for audiences with varying technical expertise
• ▹Collaborate with engineering and product teams to prioritize and relay customer feedback

Requirements

• ▹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

Nice to have

• ▹Expertise in deploying inference infrastructure for production workloads
• ▹Ability to transition ML pipelines from POC to scalable production systems
• ▹Preferred tooling: Python, Go, Java, C++; Kubernetes (K8s), Slurm; Git, Docker, Helm; Terraform; PyTorch, TensorFlow, JAX, HuggingFace, Scikit-learn

Soft skills

What we offer

• ▹Competitive compensation
• ▹Career growth and learning opportunities
• ▹Flexibility and ownership
• ▹Collaborative and innovative culture
• ▹Opportunity to work on impactful AI projects
• ▹International environment and talented teams

About the company

Nebius is building a full-stack AI cloud platform that supports developers and enterprises from data and model training through production deployment. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, with a global footprint and a team of 1,500+.