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16 часов назад

MLOps Engineer (AI)

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

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TL;DR

MLOps Engineer (AI): Building and operating ML models and AI services in production with an accent on CI/CD pipelines, container infrastructure, and cloud/on-premise GPU setups. Focus on managing the ML platform, streamlining the path from experimentation to deployment, and ensuring consistent and reproducible environments.

Location: Aarhus, Denmark. Must have lived in a NATO and/or an EU country for the past seven years.

Company

hirify.global Healthcare develops IT solutions that make a real difference where it matters most.

What you will do

  • Design, deploy, and operate ML models and AI services in production.
  • Build and maintain CI/CD pipelines, container infrastructure, and cloud/on-premise GPU setups.
  • Manage and evolve the ML platform, including model serving, registries, monitoring, and observability.
  • Collaborate with data scientists to streamline the path from experimentation to deployment.
  • Manage database (PostgreSQL) and caching systems (Redis).
  • Set up and maintain monitoring and alerting (Prometheus, Grafana, or equivalents).

Requirements

  • Bachelor’s or master’s degree in computer science or similar.
  • Solid software development experience with clean, production-quality backend code in Python (and ideally Java).
  • DevOps fundamentals: Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (Terraform, Ansible).
  • Hands-on experience deploying and operating ML models or AI services in production.
  • Experience with cloud providers and on-premise GPU infrastructure.
  • Experience with model serving (vLLM or similar) and AI Gateway solutions (LiteLLM or similar).
  • Must be able to present a clean criminal record and have lived in a NATO and/or an EU country for the past seven years.

Nice to have

  • Familiarity with model registries and experiment tracking tools (MLflow, Weights & Biases).
  • Experience deploying speech recognition models.
  • Understanding of healthcare data compliance (GDPR, patient data handling).
  • Experience building internal developer platforms or self-service ML tooling.
  • Frontend skills for building internal dashboards or admin tools.

Culture & Benefits

  • Join the Employees Club, offering nearly 100 social and professional events a year.
  • Enjoy on-site perks such as physiotherapist-led massages and an in-house hairdresser.
  • Access sports clubs, game tables, and a padel court.
  • Benefit from a daily selection of delicious and healthy dishes in the canteen.
  • Enjoy benefits like free ARoS +1 access and various shopping discounts.

Hiring process

  • Applications are assessed on an ongoing basis.
  • Click Apply Now and send your CV.

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