About this role
Design and implement LLM-based solutions using the Nebius Token Factory inference platform to drive business value. Collaborate with product and engineering teams to shape the platform roadmap and guide customers from POC to production.
Requires 5+ years of experience in ML/AI systems with at least 2 years focused on LLMs and generative AI. Candidates must possess strong Python programming skills and hands-on experience with agentic frameworks, RAG, and LLM pipeline development.
What they're looking for
PythonLLMGenerative AIPrompt engineeringRAGLangchainVector databasesvLLM
Frequently asked questions
What does a Senior ML Solutions Architect - Token Factory at Nebius do?
Design and implement LLM-based solutions using the Nebius Token Factory inference platform to drive business value. Collaborate with product and engineering teams to shape the platform roadmap and guide customers from POC to production. Requires 5+ years of experience in ML/AI systems with at least …
What skills does this Senior ML Solutions Architect - Token Factory role need?
Key skills for this role include Python, LLM, Generative AI, Prompt engineering, RAG, Langchain.
How much does a Senior ML Solutions Architect - Token Factory at Nebius pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Senior ML Solutions Architect - Token Factory role remote, hybrid, or on-site?
This role is remote ok, based in Singapore.
How do I apply for this Senior ML Solutions Architect - Token Factory role?
You can apply directly on Nebius's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.