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AI Intern – Computer Vision & Multimodal RAG

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Onsite

AI Intern – Computer Vision & Multimodal RAG

Lenovo

AI Intern – Computer Vision & Multimodal RAG

Skills

Deep LearningPythonData SciencePyTorchTensorFlowData AnalysisMachine LearningAI

18 days ago

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Important information


Contract type:

Permanent

Salary:

MYR 14,400 – MYR 15,600 / year

Location:

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Work mode:

Onsite

Published on:

5 October 2026

What they need


About the Team

The Lenovo IT AI Solutions & Innovation Team is responsible for delivering cutting-edge AI solutions to global customers and strategic partners. Our team works closely with world-class organizations and events such as FIFA, Formula 1 (F1), and other enterprise customers to design, develop, and deploy AI-powered applications that create real business value and enhance user experiences.

We are looking for passionate AI Interns who are eager to learn, explore emerging technologies, and contribute to real-world AI projects involving Computer Vision, Multimodal AI, and Retrieval-Augmented Generation (RAG).


Responsibilities

As an AI Intern, you will work alongside experienced AI engineers and solution architects to support the development and delivery of customer-facing AI solutions.

Key responsibilities include:

  • Participate in AI projects serving external customers, including sports and entertainment organizations such as FIFA, F1, and other global enterprises.
  • Collaborate with customers and internal stakeholders to understand business requirements and translate them into AI solutions.
  • Develop and test AI applications based on Computer Vision and Multimodal RAG technologies.
  • Build data pipelines, model evaluation workflows, and proof-of-concept demonstrations.
  • Fine-tune and optimize AI models to improve performance, accuracy, and user experience.
  • Support solution integration, testing, validation, and deployment activities.
  • Conduct research on the latest AI technologies, frameworks, and industry trends.
  • Document technical findings and present project progress to team members and stakeholders.
  • Complete assigned project tasks efficiently under the guidance of mentors and project leads.

Required Qualifications

  • Currently pursuing a Bachelor’s degree in:

    • Computer Science
    • Artificial Intelligence
    • Data Science
    • Software Engineering
    • Electrical Engineering
    • Or related technical disciplines
  • Strong interest in Generative AI, Computer Vision, and Multimodal AI.

  • Solid programming skills in Python.

  • Familiarity with machine learning and deep learning fundamentals.

  • Basic understanding of LLMs, RAG, vector databases, and prompt engineering.

  • Familiarity with one or more AI frameworks, such as:

    • PyTorch
    • TensorFlow
    • Hugging Face
    • LangChain
    • LlamaIndex
  • Strong problem-solving and analytical skills.

  • Excellent learning ability with a demonstrated capability to quickly acquire new technologies and tools.

  • Self-motivated, proactive, and able to work effectively in a fast-paced environment.

  • Good communication skills and the ability to collaborate within cross-functional teams.


Preferred Qualifications

Experience in one or more of the following areas is a plus:

  • Computer Vision
  • Object Detection
  • Image Classification
  • Video Analytics
  • OCR
  • Visual Understanding
  • Multimodal AI
  • Vision-Language Models (VLM)
  • Image-to-Text Applications
  • Video Understanding
  • Retrieval-Augmented Generation (RAG)
  • Vector Databases
  • Knowledge Graphs
  • Semantic Search
  • Agentic AI Workflows
  • Experience with cloud platforms such as AWS, Azure, Google Cloud, or Lenovo AI platforms
  • Experience participating in AI competitions, research projects, or open-source contributions

What You Will Gain

  • Hands-on experience building enterprise-grade AI solutions.
  • Exposure to global customer projects and large-scale events.
  • Mentorship from experienced AI architects, engineers, and industry experts.
  • Opportunity to work with state-of-the-art AI technologies, including LLMs, Computer Vision, Multimodal AI, and AI Agents.
  • Real-world experience in customer engagement, solution design, model development, testing, and deployment.

Internship Duration

  • Minimum internship duration: 3 months
  • Maximum duration: No maximum duration requirement
  • Longer-term internships are highly encouraged based on performance and project needs.

Join Us

If you are passionate about AI, eager to learn, and excited to apply cutting-edge technologies to real-world customer challenges, we would love to hear from you.

Be part of Lenovo’s AI journey and help shape the future of intelligent experiences.

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