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NPI Engineering Intern (AI-Assisted Operations)

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Onsite

NPI Engineering Intern (AI-Assisted Operations)

Nokia

NPI Engineering Intern (AI-Assisted Operations)

Skills

DockerData AnalysisAILinuxKubernetes

8 days ago

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Important information


Contract type:

Part time

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

16 October 2026

What they need


As an NPI Engineering Intern, you'll be part of the NI S&D CD APAC CE FN NPI team, supporting the NPI process. You'll gain valuable exposure to real-world telecom networks and cloud-native systems, utilizing AI-assisted tools to enhance efficiency. This role is an excellent opportunity to learn and grow within a dynamic and innovative environment.

How You Will Contribute And What You Will Learn

  • Assist the NPI team with lab operations, test-bed setup, and data analysis.
  • Apply basic AI-assisted tools for data cleansing, log parsing, and document summarization.
  • Collaborate with cross-functional teams to deliver engineering tasks efficiently.
  • Develop scripts to automate processes and improve workflow.
  • Ensure accurate and detailed lab documentation.
  • Troubleshoot and provide auxiliary support for technical issues.
  • Stay updated with the latest AI and networking technologies.
  • Contribute to a positive and collaborative team environment.
  • Complete tasks with a high level of attention to detail and accuracy.

Key Skills And Experience

  • Bachelor's or Master's student in Data Analytics, Computer Science, Telecommunications, or related fields.
  • Practical knowledge of Linux operating system is a must.
  • Basic understanding of AI concepts and its application in data processing and analysis.
  • Foundational knowledge of computer and networking fundamentals, including TCP/IP, Ethernet, routing, and switching.
  • Strong logical thinking skills and attention to detail for data handling.
  • Excellent teamwork and communication skills, with the ability to follow technical guidance.
  • Available to commit at least 16 hours per week during the internship.
  • Previous experience in lab environments or technical projects is an advantage.
  • Familiarity with container concepts (Docker/Kubernetes) is a plus.
  • A self-motivated and proactive attitude towards learning and contributing to the team.

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