Remote ML Solutions Architect – Early Career (Paid)

Nebius Group; Amsterdam; Hybrid; EUR 126,000 - 156,000; Part time

Benefits offered by this job

Health insurance

401(k) plan

Parental leave

Remote work reimbursement

Disability & life insurance

Job summary

Nebius is seeking an ML Solutions Architect (Early Career) to join its Token Factory team, working on serverless inference and fine-tuning for open-source LLMs. You will collaborate with senior Solutions Architects on real technical work, including building, benchmarking, and deploying ML solutions, while receiving mentorship.

This paid temporary contract offers hands-on experience, with potential for full-time opportunities, and allows remote work from any timezone.

Qualifications

• Currently pursuing or recently completed a BSc/MSc/PhD in Computer Science, Machine Learning, or a related field.
• Strong Python programming skills.
• Hands-on generative AI experience, including with common ML frameworks (e.g., PyTorch, Transformers).
• Strong communication skills, with a willingness to explain technical concepts to diverse audiences.

Responsibilities

• Help build and test LLM-based solutions and applications using Token Factory's inference services, including multimodal models (text, vision, audio).
• Assist senior SAs with prompt engineering, model selection, benchmarking, and inference optimization.
• Run performance and quality experiments to support proof-of-concept work.
• Contribute to internal tooling and automation that improves how the SA team delivers.

Skills

Python

Generative AI

PyTorch

Transformers

Communication skills

Education

BSc/MSc/PhD in Computer Science or ML

Tools

vLLM

SGLang

TensorRT-LLM

Langchain

Langsmith

smolagents

FastAPI

Flask

Kubernetes

Docker

Git

Job description

Nebius is seeking an ML Solutions Architect (Early Career) to join its Token Factory team, working on serverless inference and fine-tuning for open-source LLMs. You will collaborate with senior Solutions Architects on real technical work, including building, benchmarking, and deploying ML solutions, while receiving mentorship.

This paid temporary contract offers hands-on experience, with potential for full-time opportunities, and allows remote work from any timezone.