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27 дней назад

DataOps Intern (AI/ML)

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

Текст:
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TL;DR
DataOps Intern (AI/ML): Building and operating cloud and bare-metal infrastructure for data, machine-learning, and AI workloads with an accent on GCP, Kubernetes, CI/CD, observability, and regulatory compliance. Focus on automating operational work, troubleshooting production incidents, supporting model training and inference, and improving platform reliability and cost efficiency.

Location: KSA; onsite; Saudi nationals only

Company

hirify.global is a fintech company providing flexible payment products to shoppers and businesses across the GCC.

What you will do

  • Operate cloud infrastructure, primarily GCP, and bare-metal systems hosting data, ML, and AI workloads.
  • Build and maintain CI/CD pipelines for services and machine-learning models.
  • Run and troubleshoot containerized workloads on Kubernetes.
  • Improve monitoring, alerting, logging, reliability, and platform cost efficiency.
  • Automate operational tasks with Python or Bash and investigate infrastructure and pipeline incidents.
  • Support model training and inference environments, resources, deployments, and costs while meeting SAMA requirements.

Requirements

  • Solid Linux fundamentals, including filesystems, processes, permissions, networking, and shell usage.
  • Hands-on experience building or deploying on at least one cloud provider; GCP experience is most relevant.
  • Understanding of DNS, TCP/IP, load balancing, containers, Kubernetes deployment, and workload debugging.
  • Working knowledge of monitoring and observability, including metrics, logs, and alerts.
  • Python or Bash automation skills, Git experience, structured thinking, and attention to correctness.
  • Saudi nationality is required; full-time-level engagement is expected. Current students and fresh graduates are welcome. English must be sufficient for documentation and team communication.

Nice to have

  • Infrastructure as code experience with Terraform or similar tools.
  • End-to-end CI/CD experience with GitLab CI, GitHub Actions, or similar systems.
  • Practical Prometheus, Grafana, or equivalent observability experience.
  • Exposure to MLOps, GPU workloads, model serving, experiment tracking, or model registries.
  • Experience running open-source models and understanding how LLMs work.

Culture & Benefits

  • Six-month paid internship starting in autumn 2026.
  • Direct integration into an engineering team with real production responsibility under senior review.
  • Full-time-level involvement with advance coordination for classes or exams.
  • Potential path to a junior platform role after the internship, depending on performance.

Hiring process

  • Application and review followed by an HR call.
  • Technical interview at hirify.global.
  • Final interview at hirify.global and hiring decision.

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