Назад
1 месяц назад

AIOps Intern (AI)

Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AIOps Intern (AI): Supporting internal agentic payment, data reporting, and operational intelligence workloads with an accent on automation and AI-assisted operations. Focus on orchestrating data reporting, troubleshooting production bugs, and improving internal chatbot and RAG systems.

Location: Shah Alam, Malaysia

Company

Razer is a global company dedicated to revolutionizing the gaming industry with a distributed team across five continents.

What you will do

  • Support internal agentic payment, data reporting, and operational intelligence workloads.
  • Orchestrate ad-hoc data reporting and troubleshoot production bugs in real systems.
  • Assist with backend changes using PHP and Python, SQL queries, and API integration fixes.
  • Test internal tools, chatbot workflows, and RAG knowledgebase responses.
  • Contribute scripts and small tools to reduce repetitive manual work and improve workflow automation.
  • Document recurring issues, operational steps, and known reporting logic.

Requirements

  • Basic programming knowledge in PHP and Python.
  • Basic SQL knowledge, including joins, filtering, aggregation, and data validation.
  • Ability to read logs, debug errors, and trace issues across systems.
  • Experience working with structured data such as CSV, JSON, and API responses.
  • Current student in Computer Science, Software Engineering, Data Engineering, or related fields.

Nice to have

  • Experience with Laravel, Node.js, or shell scripting.
  • Familiarity with Docker, Git, GitLab, CI/CD, or Linux command line.
  • Knowledge of MySQL, PostgreSQL, ClickHouse, DuckDB, Kafka, or S3.
  • Interest in AI agents, chatbots, RAG systems, and vector search.

Culture & Benefits

  • Opportunity to make a global impact within a high-growth, gamer-centric environment (#LifeAtRazer).
  • Exposure to real payment systems and production-level data pipelines.
  • Accelerated professional growth through practical engineering tasks.
  • Inclusive and respectful workplace as an Equal Opportunity Employer.

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