Lenovo Group Limited 香港招聘
Why Work at Lenovo
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$62 billion revenue global technology powerhouse, ranked #217 in the Fortune Global 500, employing 77,000 people around the world, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver smarter technology for all, Lenovo has built on its success as the world’s largest PC company by further expanding into growth areas that fuel the advancement of ‘New IT’ technologies (client, edge, cloud, network, and intelligence) including server, storage, mobile, software, solutions, and services.
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub.
Business Analyst
Position Summary:
We are seeking a detail-oriented and analytical Business Analyst to join our team. You will bridge the gap between business stakeholders and technical teams, ensuring that requirements are clearly defined, documented, and delivered.
Candidates with 3 to 5 years of experience will be considered for the Business Analyst role.
Candidates with more experience will be considered for the Senior Business Analyst role.
Key Responsibilities:
Facilitate workshops and interviews to elicit business requirements from stakeholders.
Create and maintain high-quality documentation including Business Requirements Documents (BRD), Functional Specifications (FSD), and user stories.
Write clear and concise user stories, define acceptance criteria, and assist in maintaining a healthy product backlog.
Act as a proxy Product Owner or Scrum Business Analyst, managing the product backlog, and making real-time decisions during sprints.
Lead backlog grooming sessions, prioritize features based on business value, and ensure stories are ready for development before sprint planning.
Write epics and features that break down into detailed user stories with well-defined acceptance criteria and Definition of Done (DoD).
Build strong relationships with mid-level client stakeholders to negotiate scope and resolve complex business issues within the Agile cadence.
Collaborate with architects and developers to design feasible, scalable technology solutions that align with business strategy and fit within sprint timelines.
Perform data mapping and root cause analysis to support integration and reporting requirements in an iterative delivery model.
Participate in User Acceptance Testing (UAT) to validate that system functionalities meet business specifications.
Plan and organize project activities, ensuring alignment with timelines and deliverables.
Support end users after implementation, ensuring a smooth transition and adoption of the new system.
Provide guidance on Agile best practices and review deliverables from junior analysts on the team.
Qualifications & Experience:
3-5 years of experience in business analysis within an Agile environment, preferably in a consulting setting.
Candidates with more experience will be considered for the Senior Business Analyst role.
Bachelor’s degree in Business, Information Systems, Computer Science, or related field.
Well versed in Microsoft Office Suite (Excel, Word, PowerPoint).
Strong knowledge of Agile at scale (SAFe), Scrum, and Kanban methodologies.
Proficiency in Agile tools like JIRA, Confluence, or Azure DevOps.
Certified Scrum Product Owner (CSPO) or similar is a plus.
Effective verbal and written communication in English and Chinese.
Staff Engineer, AI System
Description and Requirements:
We are seeking a driven AI Engineer to build AI platforms to support Agentic AI applications in Lenovo.
Key Responsibilities:
Platform Engineering: Design, develop, optimize, and operate the AI platform, including Model Hub & Ops platform, and Agent Ops platform .
System Integration: Collaborate with cross-functional teams to integrate AI technologies into scalable, production-ready systems.
Innovation: Continuously explore and adopt emerging AI research, tools, and methodologies.
Qualifications:
Education: Master’s degree in Computer Science, AI, or a related field, or equivalent practical experience.
Core Tech Stack:
Proficiency in Python and its ecosystem (Pytest, Django, FastAPI).
Strong expertise in Deep Learning frameworks (PyTorch, Hugging Face Transformers).
Experience with containerization and orchestration (Docker, Kubernetes).
Proficient in Linux environments and Git-based workflows.
AI Tooling: Proven experience using AI engineering tools (e.g., Claude Code, GitHub Copilot) to accelerate the software development lifecycle.
Soft Skills: Excellent communication skills with a self-motivated approach to continuous learning.
Preferred Qualifications:
Hands-on experience fine-tuning Small Language Models (SLMs) or optimizing Large Language Model (LLM) inference pipelines.