Nebius is a leading cloud infrastructure provider dedicated to the global AI economy, offering a full-stack platform that supports developers and enterprises in model training and production deployment. We are currently seeking a Senior ML Solutions Architect to join our Token Factory team, which focuses on serverless platforms for customizing and running open-source LLMs.
Key responsibilities
- Optimize LLM inference across various modalities to drive business value and support customer goals.
- Provide expert support in supervised and reinforcement learning fine-tuning to maximize model quality.
- Design and implement scalable LLM-based solutions using our serverless inference services.
- Build production-ready applications leveraging our APIs, including multimodal and domain-specific models.
- Collaborate with engineering teams to shape the platform roadmap based on direct customer feedback.
Requirements
- 5+ years of experience in ML/AI systems, with at least 2 years specifically focused on LLMs and generative AI.
- Deep knowledge of the LLM ecosystem, including model architectures and fine-tuning approaches.
- Hands-on experience with running LLMs in production, fine-tuning (SFT/LoRA), and building evaluation pipelines.
- Proficiency with inference frameworks such as vLLM, SGLang, or TensorRT-LLM.
- Strong Python programming skills and the ability to explain complex technical concepts to diverse audiences.
What we offer
- Competitive compensation package and opportunities for career growth.
- A collaborative, innovative culture with high levels of ownership and flexibility.
- The chance to work on impactful, cutting-edge AI projects in an international environment.
- A fast-moving, bold-thinking workplace where you can help shape the future of AI infrastructure.