📍 Hungary💼 WFH🏢 NebiusSep 16, 2026
NE

Senior ML Solutions Architect - Token Factory

at Nebius

About Nebius:Nebius is leading a new era in cloud infrastructure for the global AI economy.

Experience: 5+ yearsLevel: Senior
✨ Apply Now ↗Opens employer's official career page

Job Overview

Published

Sep 16, 2026

Expires

Dec 15, 2026

Source

Nebius

Region

HU

Type

Remote / Work From Home

Category

WFH

Experience

5+ years

Seniority

Senior

Job Description

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 This position sits within Nebius Token Factory , our serverless platform for running and customizing open-source LLMs in production. Token Factory allows for serverless inference and fine-tuning (LoRA, full FT, RFT) backed by in-house optimizations like custom speculative decoding, quantization, cache-aware routing and dedicated endpoints. Customers come to us to move from prototype to scaled production without the cost and complexity of building and tuning their own inference stack.

We seek an experienced Senior ML Solutions Architect to support customers leveraging Nebius Token Factory's serverless inference and fine-tuning platforms for open-source LLMs across multiple modalities. In this role, you will be collaborating with clients to design and implement optimized inference workflows, build customized LLM-based solutions and architect scalable AI applications using our served models. You will also work closely with our backend team to improve our platform to match clients' needs.

You’re welcome to work remotely from Europe .

Your responsibilities will include

Optimize LLM inference across various modalities to drive business value and support customer goals

Provide support in supervised and reinforcement learning fine-tuning to maximize model quality for the customers

Design and implement LLM-based solutions using Nebius Token Factory’s inference services

Build production-ready applications leveraging our serverless LLM APIs, including multimodal models (text, vision, audio) and domain-specific models

Provide technical expertise in prompt engineering, RAG architectures and model selection

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

We expect you to have

5+ years of experience in ML/AI systems, with at least 2 years 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 : deploying and operating inference workloads

LLM fine-tuning , including supervised fine-tuning (SFT/LoRA) and data preparation/curation; experience with RL-based fine-tuning is a strong plus

LLM evaluation : building task-specific benchmarks and offline/online eval pipelines , including LLM-as-a-judge setups

Inference frameworks and libraries (e.g., vLLM, SGLang, TensorRT-LLM, Transformers)

Deploying LLM-powered applications using APIs from OpenAI, Anthropic, or open-source models

Strong Python programming skills

Excellent communication skills , with the ability to clearly explain technical concepts to diverse audiences

It would be an added bonus if you have

Work with multimodal AI models (e.g., 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, TensorRT-LLM, SGLang, Transformers, OpenAI/Anthropic SDKs

MLOps and DevOps tools : Kubernetes (K8s), Docker, Git

Cloud Platforms : AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure (Azure ML)

Competitive compensation

Career growth and learning opportunities

Flexibility and ownership

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.

Originally posted on Himalayas

Remote Work Guidelines & Career Insights

Practical advice for succeeding as a remote professional in this role.

Asynchronous Productivity

High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.

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Home Office & Security

Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.

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Resume & Application Tips

Tailor your CV specifically to the requirements of Senior ML Solutions Architect - Token Factory. Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.

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Virtual Interview Prep

Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.

Frequently Asked Questions

Key answers about the application process, remote setup, and compensation for Senior ML Solutions Architect - Token Factory.

Is the Senior ML Solutions Architect - Token Factory role 100% remote?+

Yes, this is a fully remote work-from-home position with Nebius. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.

What qualifications and experience are needed for Senior ML Solutions Architect - Token Factory?+

Applicants are typically evaluated on 5+ years. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.

Who is eligible to apply for this job?+

This remote opening welcomes applications from HU and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by Nebius.

What is the salary and benefits package for Senior ML Solutions Architect - Token Factory?+

The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.

How do I apply and what should I prepare for the interview?+

Click the "Apply Now" button on this page to visit Nebius's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.

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