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3 часа назад

AI Solution Architect (AI)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Serbia/Poland/Cyprus +1 еще
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Solution Architect (AI/GPU Infrastructure): Designing and deploying large-scale GPU clusters, containerized training pipelines, and production inference systems with an accent on automation, infrastructure as code, and orchestration. Focus on building scalable GPU architectures using Kubernetes and Slurm to ensure seamless deployments across massive GPU resources.

Location: Hybrid or Remote in Poland, Serbia, Cyprus, or Georgia

Company

hirify.global is a global provider of infrastructure and software solutions for AI, cloud, network, and security, operating over 210 edge locations and 50 cloud regions.

What you will do

  • Design end-to-end GPU cluster architectures for on-premises and cloud environments.
  • Build and maintain Infrastructure as Code (IaC) modules using Ansible and Terraform to automate provisioning and scaling.
  • Lead technical deep-dives and workshops to guide AI-focused customers through solution deployment.
  • Produce technical documentation, including whitepapers and runbooks, and host training sessions.
  • Collaborate with engineering and product teams to incorporate customer feedback into product enhancements.

Requirements

  • 3+ years of experience in Cloud or GPU AI Infrastructure DevOps.
  • Proven track record of deploying multi-node, multi-GPU clusters at scale.
  • Proficiency in Python or Go.
  • Strong hands-on experience with Kubernetes (K8s) and Slurm.
  • Expertise in Ansible and Terraform.
  • Solid understanding of ML ecosystems, tooling, and production deployment patterns.

Nice to have

  • Experience deploying high-availability inference infrastructure for production AI workloads.
  • Optimization of distributed training and inference pipelines using MLflow, PyTorch, TensorFlow, or JAX.
  • Familiarity with GitOps workflows, Docker, Helm charts, and CI/CD for ML.
  • Knowledge of Hugging Face transformers and Scikit-learn.

Culture & Benefits

  • Competitive compensation and flexible working hours.
  • Hybrid or remote work options depending on the role.
  • Work from anywhere in the world for up to 45 days per year.
  • Private medical insurance for you and your family.
  • Extra paid vacation and sick leave days.
  • Language courses and access to modern offices with snacks and entertainment.

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