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Full-time
postgraduate degree
Posted 1d ago
~40 hrs/week
Responsibilities
Design and develop enterprise-grade AI application systems, including intelligent quality inspection and predictive maintenance using LLMs and machine learning. Oversee model deployment, performance optimization, and the development of AI capability platforms to drive business value.
Requirements
Requires a Master's degree or higher in a relevant technical field and at least 2 years of experience in AI development. Proficiency in Python, machine learning libraries, and experience with LLM frameworks and backend development is essential.
Full job description
Job Responsibilities:
-Design and develop enterprise-grade AI application systems, driving the deep integration of AI into manufacturing and business operations.
-Build systems—such as intelligent quality inspection, predictive maintenance, knowledge Q&A, and intelligent production scheduling—leveraging Large Language Models (LLMs), machine learning, and computer vision technologies.
-Oversee AI model deployment, system performance optimization, and stability assurance; ensure system scalability and sustainable operation; and resolve issues related to performance bottlenecks and model accuracy degradation.
-Develop enterprise-level AI capability platforms, including AI agent systems, RAG knowledge bases, and centralized data and capability platforms.
-Perform model compression and performance optimization to meet specific performance and quantization requirements.
-Collaborate across teams to ensure the stable implementation of model optimization solutions within products.
-Engage with clients and product teams to identify new business use cases and value opportunities through Proof-of-Concept (POC) projects and rapid experimentation.
-Produce technical documentation, experiment reports, and methodological summaries to support team decision-making and knowledge accumulation.
Qualifications
Requirements:
-Master’s degree or higher in Computer Science, Machine Learning, Electronic Information, Intelligent Manufacturing, or related fields;
-2+ years of experience in AI development or related areas; experience implementing AI projects in the semiconductor manufacturing industry is a plus;
-Proficiency in Python and familiarity with common machine learning libraries (e.g., NumPy, Pandas, scikit-learn, and at least one of PyTorch or TensorFlow); strong coding and engineering mindset;
-Familiarity with application development using mainstream Large Language Models (e.g., OpenAI, Tongyi, GPT) and prompt engineering;
-Familiarity with RAG architecture and vector databases (e.g., Milvus, FAISS, Weaviate);
-Familiarity with LLM application frameworks (e.g., LangChain, LlamaIndex, Dify) is a plus;
-Familiarity with cutting-edge technologies such as Transformers, LLMs, and vLLM;
-Backend development skills (e.g., FastAPI, Flask, Django) and API system design capabilities;
-Familiarity with Docker and Linux deployment environments; experience with local model deployment is a plus;
-Strong problem-definition skills and an exploratory mindset; ability to formulate hypotheses, design experiments, and validate feasibility in scenarios with limited precedents;
-Excellent communication and cross-team collaboration skills; ability to drive projects forward in coordination with frontend/backend teams, SRE, product managers, and QA;
-CET-6 or equivalent English proficiency (reading/writing); ability to read technical documentation in English and handle basic communication;
-Interest in intelligent applications for semiconductor testing and a willingness to explore and implement new application directions with the team.
Related keywords
AI Application EngineerLarge Language ModelsMachine LearningComputer VisionPythonNumPyPandasScikit-learnPyTorchTensorFlowRAGMilvusFAISSLangChainLlamaIndexDify
Advantest (TSE: 6857) is the leading manufacturer of automatic test and measurement equipment used in the design and production of semiconductors for applications including 5G communications, the Internet of Things (IoT), autonomous vehicles, high performance computing (HPC) including artificial intelligence (AI) and machine learning, and more. Its leading-edge systems and products are integrated into the most advanced semiconductor production lines in the world. The company also conducts R&D to address emerging testing challenges and applications; develops advanced test-interface solutions for wafer sort and final test; produces scanning electron microscopes essential to photomask manufacturing; and offers system-level test solutions and other test-related accessories. Founded in Tokyo in 1954, Advantest is a global company with facilities around the world and an international commitment to sustainable practices and social responsibility.
More information is available at www.advantest.com.
Offices: Shin Marunouchi Center Bldg.,, 1-6-2, Marunouchi, Chiyoda-ku,, Tokyo, 100-0005, JP · 140, 3gongdan 6-ro, Seobuk-gu, Cheonan-si, Chungcheongnam-do 31085, KR · Azorim Business Park, 94 Em HaMoshavot Road, Petach Tikva, 49527, IL · 3061 Zanker Road, San Jose, CA 95134, US · No.15 Guangfu Rd, Hsinchu Industrial Park, Hukou Township, Hsinchu 30351, TW
ATEautomated test equipmentsystem-on-chipSOCFlashDRAMHigh-Speed MemoryYield AnalysisDesign DebugProbe Cards
How many Data & Analytics jobs are open in Pudong, China right now?
There are currently 42 open data & analytics positions in Pudong, China listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Pudong, China?
Companies currently hiring include SAP, Henkel, Advantest, Danaher, JPMorganChase, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Pudong, China?
Yes — 22 of the 42 open data & analytics positions offer remote or hybrid work (0 remote, 22 hybrid).
How do I apply for Data & Analytics jobs in Pudong, China?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.