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NPI Engineering Intern (AI-Assisted Operations)

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Onsite

NPI Engineering Intern (AI-Assisted Operations)

Nokia Solutions and Networks Sdn Bhd

NPI Engineering Intern (AI-Assisted Operations)

Skills

DockerData AnalysisAILinuxKubernetes

11 days ago

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Important information


Contract type:

Part time

Location:

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.

  • 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.

  • 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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