China Browse · Shanghai · AI Engineer
GSK
GSK is building a global AI/ML team in Shanghai to develop transformational medicines using advanced machine learning and genetics
Intel Corporation
The role involves designing and optimizing AI frameworks like SGLang while contributing to public upstream projects
ZF Friedrichshafen
This position is part of ZF's ADAS & HPC business unit which is entering a phase of growth and transformation within advanced automotive technology
JPMorgan Chase & Co.
JPMorgan Chase & Co. is seeking an Asset Management AI Systems Engineer at the Associate/VP level in Shanghai, China, focusing on optimizing large language model (LLM) platforms and AI infrastructure. The ideal candidate will have extensive experience in backend systems and MLOps, particularly with GPU optimization, while being proficient in Python and Java
JPMorgan Chase & Co.
The role involves researching and deploying large models with a focus on training, fine-tuning, and prompt engineering for asset management
JPMorgan Chase
The role involves researching, deploying, and optimizing large models including training, fine-tuning, and prompt engineering for enterprise business scenarios
JPMorgan Chase
The role focuses on building and optimizing enterprise Large Language Model serving platforms using advanced techniques like PagedAttention and quantization
Intel
The role involves designing and optimizing AI software frameworks such as SGLang while contributing to public upstream projects
ZF Friedrichshafen AG
This position is part of ZF's ADAS & HPC business unit which is entering a new phase of growth within advanced automotive technology
Amazon
This senior role focuses on designing, building, and operating AI-powered solutions that significantly enhance operational efficiency in the Compliance domain
Intel Retiree Medical Plan Trust
This role supports technical sales by providing product expertise and assisting in solution design while engaging directly with customers
PwC Sweden
The role involves designing and delivering generative AI applications from the ground up using context-augmented paradigms like RAG and CAG
GSK plc
GSK is building a global AI/ML team to develop transformational medicines using advanced applications of Machine Learning and genetics
Upstate New York College Collaboration
The role focuses on designing and delivering production-grade generative AI applications using context-enhanced paradigms like RAG and CAG
NVIDIA
This role involves working on the research, design, and implementation of software features for autonomous driving perception stacks
PwC
The role involves designing and delivering production-grade generative AI applications using context-enhanced paradigms like RAG and CAG on the Azure platform
Intel
The role involves contributing to the design and optimization of AI software solutions across domains like computer vision and deep learning
Activision Publishing, Inc
The role involves designing and delivering production-grade generative AI applications using context-enhancement paradigms like RAG and CAG
PwC
The role involves designing and delivering production-grade generative AI applications using context-enhanced paradigms like RAG and CAG
PwC
This role involves designing and delivering production-grade generative AI applications from scratch using advanced context-enhancement paradigms like RAG and CAG
PwC
The role involves designing and delivering production-grade generative AI applications using context-enhanced paradigms like RAG and CAG on Azure
PwC
The role focuses on designing and delivering production-grade generative AI applications from scratch using context-enhanced paradigms like RAG and CAG
NVIDIA Developer Tools team
The role involves spearheading AI-powered experiences within NVIDIA's SDK delivery and developer workflows as a senior individual contributor
NVIDIA
This role involves working on research, design, and implementation of software features for autonomous driving perception stacks
PwC
The role involves designing and delivering production-grade generative AI applications using advanced context-enhancement paradigms like RAG and CAG
