27 дней назад
DataOps Intern (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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 .
- Final interview at and hiring decision.
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