ML Solution Architect (Early Talent)

Навыки

• AI-инструменты в работе
• API (интеграции)
• AWS
• Azure
• Коммуникация
• CUDA / ONNX / TensorRT
• Docker

О компании и продукте

• 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.
• Eligibility : Current University student (Computer Science or related field), Recent Graduate or Early Career specialist

Требования

• 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

Будет плюсом

• Experience deploying/serving LLMs with vLLM, SGLang, or TensorRT-LLM
• Familiarity with inference optimization techniques such as quantization, batching, caching, and routing
• Knowledge of model architectures and fine-tuning approaches
• 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)
• Key employee benefits in the US
• 401(k) plan: Up to 4% company match with immediate vesting
• Parental leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers

Условия

• Health insurance: 100% company-paid medical, dental, and vision coverage for employees and families
• Remote work reimbursement: Up to $85/month for mobile and internet
• Disability & life insurance : Company-paid short-term, long-term and life insurance coverage

Паспорт вакансии

История публикации

Откуда что взялось

Отмечено то, что вывели мы. Без пометки — значение назвал работодатель.

Почему на этом месте в выдаче

Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.