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Senior ML Solutions Architect - Token Factory

NebiusEuropaEuropa

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano16 września 2026
Wykryte przez nas
Wykryte przez nas16 września 2026
Zarobki
ZarobkiDo uzgodnienia

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.

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