Lenovo
岗位信息
招聘岗位
AI Intern实习
工作城市
马来西亚
是否笔试
未明确
招聘批次
实习
截止日期
未公布(以企业官网为准)
发布日期
2026-10-27
📋 岗位职责 / 任职要求
About the Team
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, Master’s, or Ph.D. 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 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
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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