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1 день назад

Senior Azure AI Platform Engineer (AKS)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Azure AI Platform Engineer (AKS): Re-engineering and migrating production AI use cases from Azure Machine Learning to an internal Kubernetes-based platform with an accent on infrastructure design, CI/CD automation, and containerization. Focus on building scalable Python-based APIs, implementing RAG and embedding workflows, and ensuring robust automated testing within a high-stakes banking environment.

Location: Must be based in or able to work onsite in Amstelveen, Netherlands

Company

hirify.global is a recruitment and professional services firm connecting skilled professionals with projects across tech start-ups and global organizations since 2000.

What you will do

  • Migrate production AI use cases from Azure Machine Learning to an internal Azure Kubernetes Service (AKS) platform.
  • Design and configure Azure cloud infrastructure and build robust CI/CD pipelines using Azure DevOps.
  • Re-engineer Python application code for containerized Kubernetes environments.
  • Develop and maintain automated test coverage across the entire stack.
  • Collaborate with internal engineers and product stakeholders to deliver project milestones.

Requirements

  • 5+ years of experience with Python, Spark, Git, and Azure DevOps.
  • 5+ years of experience delivering production ML or AI solutions on cloud platforms (Azure preferred).
  • Expert-level knowledge of AKS with a proven track record of owning production Kubernetes workloads.
  • Experience with Azure OpenAI, Azure Document Intelligence, and applied AI concepts (RAG, embeddings, chunking).
  • Ability to build production APIs using FastAPI or similar frameworks.
  • Strong English communication skills and an independent ownership mindset.

Nice to have

  • Familiarity with queue and messaging services such as Redis or MQ.
  • Solid discipline in unit and automated testing.

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