Назад
2 месяца назад

Solutions Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Solutions Architect (AI): Designing and implementing cloud infrastructure and MLOps solutions for clients with an accent on GPU orchestration and pipeline optimization. Focus on acting as a trusted technical advisor, conducting PoCs, and bridging the gap between customer requirements and Nebius AI platform capabilities.

Location: Must be based in or able to work hybrid from Tel Aviv, Israel

Company

Nebius is a leading AI cloud infrastructure provider building a full-stack platform for model training and production deployment.

What you will do

  • Act as a trusted technical advisor to clients, conducting workshops, PoCs, and training sessions.
  • Design and document infrastructure-as-code solutions tailored to client business requirements.
  • Optimize pipeline performance and scalability to ensure efficient utilization of cloud resources.
  • Serve as the primary point of expertise for customer scenarios across product, support, and marketing teams.
  • Support marketing efforts through participation in hackathons, conferences, and webinars.

Requirements

  • 5+ years of experience as a cloud solutions architect, system/network engineer, or developer.
  • Strong hands-on experience with IaC tools like Terraform or Ansible, Kubernetes, and Python.
  • Solid understanding of GPU computing practices, software stacks, and libraries like CUDA.
  • Must be authorized to work in Israel.
  • Excellent communication skills with fluency in Hebrew and English.

Nice to have

  • Hands-on experience with HPC/ML orchestration frameworks such as Slurm or Kubeflow.
  • Experience with deep learning frameworks like TensorFlow or PyTorch.
  • Knowledge of the cloud ML tools landscape including AWS, Azure, and Google Cloud.

Culture & Benefits

  • Competitive compensation package.
  • Opportunities for career growth and continuous learning.
  • Focus on work-life balance and flexibility.
  • Collaborative, innovative, and international work environment.
  • Opportunity to work on high-impact AI projects.

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