TL;DR
AI/ML Specialist Solution Architect (AI): Supporting the design and deployment of AI/ML solutions on GPU cloud infrastructure with an accent on distributed training and inference optimization. Focus on helping customers adopt large-scale AI workloads while developing expertise in modern ML frameworks and cloud systems.
Location: Must be based in the USA
Company
Nebius is a global cloud platform provider focused on serving the AI economy with specialized, high-performance infrastructure.
What you will do
- Assist in the design and documentation of scalable AI and ML cloud solutions.
- Learn to operate distributed training and inference workloads on multi-GPU platforms.
- Create technical content including presentations, tutorials, and system demos.
- Participate in investigation, troubleshooting, and optimization of customer AI workloads.
- Collaborate with engineering and product teams to support customer needs.
Requirements
- Current university student, recent graduate, or early-career specialist.
- Must be authorized to work in the USA.
- Solid understanding of machine learning concepts and workflows.
- Familiarity with at least one ML framework such as PyTorch, TensorFlow, or JAX.
- Proficiency in Python programming.
- Strong communication skills and interest in cloud infrastructure.
Nice to have
- Exposure to container technologies like Docker and Kubernetes.
- Familiarity with Git or basic DevOps workflows.
- Project experience with distributed systems or MLOps.
Culture & Benefits
- Mentorship from experienced AI, ML, and cloud infrastructure professionals.
- Hands-on experience with real customer workloads in production environments.
- Remote work flexibility.
- Supportive, collaborative team environment.
- Potential for consideration for a full-time role after the program.