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Schaeffler

人工智能专家 – 工程方法与工具开发

Schaeffler

AI Expert responsible for applying AI technologies and leading projects in R&D for a global technology company.

Posted 6/18/2026full-timeShanghai • 🇨🇳 ChinaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
CloudPythonPyTorchTensorflow

About the role

Key responsibilities & impact
  • Responsible for the overall technical realization with AI for different applications.
  • Utilize AI to empower the technology and product development in R&D area.
  • Define technical implementation roadmap with foresight and technical feasibility.
  • From technical side lead and participate in the planning, design, development, and deployment of AI projects, ensuring high-quality delivery and continuous optimization.
  • Resolve technical challenges in projects and provide technical guidance and advice to project team.
  • Continuously optimize the development process throughout project execution.
  • Track the latest trends of AI technologies, explore and identify synergies between AI and R&D, and drive the applications of cutting-edge technologies to foster innovation.
  • Act as the technical interface for efficient communication and cooperation with HQ and internal teams, and also with suppliers, and partners.
  • Work with the corresponding teams at headquarters to align on technical progress and global / regional solutions.

Requirements

What you’ll need
  • Educational Background: AI, Computer science, Data science, or related fields.
  • Work Experience: Over 3 years of relevant experience in AI field, with at least 2 years of experience in AI application, large model application projects.
  • Technical Skills: - Deep understanding of AI / large model principles, proficiency in at least one deep learning framework (such as TensorFlow/PyTorch).
  • - Familiarity with key technologies such as NLP, Model Optimization, RAG, Agents, and prompt engineering.
  • - Excellent Python programming skills with strong software design and development capabilities.
  • - Familiarity with mainstream data architectures, IT technology architectures and cloud services.
  • Team Collaboration: Strong teamwork and communication skills, able to effectively address technical and business challenges.
  • Research Ability: Ability to drive technological innovation and cutting-edge research, promoting technical advancement and application in AI within the team.
  • Others: Proficiency in English, including listening, speaking, reading, and writing skills.

Benefits

Comp & perks
  • Exciting assignments and outstanding development opportunities

ATS Keywords

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Hard Skills & Tools
AIdeep learningTensorFlowPyTorchNLPModel OptimizationRAGAgentsprompt engineeringPython
Soft Skills
teamworkcommunicationproblem-solvingtechnical guidanceinnovationcollaborationleadershiporganizational skillsadaptabilitycritical thinking