Senior ML Solutions Architect - Token Factory
Nebius seeks a Senior ML Solutions Architect to support customers leveraging its Token Factory serverless inference platform for open-source LLMs. You'll design and implement LLM-based solutions, build production-ready applications, and collaborate with clients and internal teams, with the flexibility to work remotely from Singapore.
Responsibilities
- Design and implement LLM-based solutions using Nebius Token Factory’s inference services to drive business value and support customer goals
- Build production-ready applications leveraging serverless LLM APIs, including multimodal models and domain-specific models
- Provide technical expertise in prompt engineering, RAG architectures, model selection, and inference optimization
- Collaborate with product and engineering teams to surface customer feedback and shape the platform roadmap
- Guide customers in scaling from POC to production with a focus on performance, reliability, and cost efficiency
About the role
About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers.
From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference platform for open-source LLMs across multiple modalities.
In this role, you will be collaborating with clients to design and implement customized LLM-based solution and architect scalable AI applications using our served models, and working together with our backend team to improve our platform to match the clients' needs. You’re welcome to work remotely from Singapore .
, vision-language, speech) Proficiency with DevOps tools (Docker, Kubernetes) Contributions to open-source ML/AI projects Preferred technical stack: Programming Languages – Python ML Frameworks and Libraries – vLLM, SGLang, TensorRT-LLM, Transformers, OpenAI/Anthropic SDKs Frameworks for Agentic Pipelines – Langchain / Langsmith / smolagents / equivalent API and Web Frameworks – FastAPI, Flask MLOps and DevOps tools – Kubernetes (K8s), Docker, Git Cloud Platforms – AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML) Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and work-life balance Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer.
We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment.
We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.
About Nebius
Visit careers.nebius.com for more.