Data Science Consultant
In the rapidly moving Artificial Intelligence era, few spaces are moving faster than the AI-enabled PC.
As a leading provider of world-class technology, this means bringing more intelligence into the PC ecosystem, enabling superior performance, enhanced productivity, and delightful experiences while maintaining privacy and security.
We’re developing innovative approaches to introducing intelligence across our client PC portfolio by leveraging current methodologies, models, and tools to develop a robust end-user ecosystem.
What’s more, we are collaborating with leading AI technology companies, academics, industry experts, and skilled engineers to deliver cutting-edge solutions that redefine the user experience.
Join us to do the best work of your career and make a profound social impact as a Data Scientist on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center.
What you’ll achieve
As a Data Scientist, on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, leveraging established university and industry contacts, working on a team of data scientists and engineers on Artificial Intelligence and Machine Learning solutions across the client devices portfolio.
In this role, you will be responsible for realizing CTO AI initiatives, and working with a team of data scientists, and ML, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users.
You Will:
Collaborate with engineering and operations teams to integrate and deploy AI applications on client devices with backend cloud integrationWork across a diverse set of telemetry collection and deployment environments inclusive of client endpoint OSes, real-time operating systems, and embedded firmware ecosystems Develop AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexitiesConduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devicesTranslate business questions into compelling use cases and provide insights using data and statistical methods as well as tell stories using data; Advocate and execute strategies to adopt data and data science in all business and technical conclusionsRequirements
Master's degree or higher in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 8 years, MS + 5 years, Ph.D. + 2 years minimum Solid experience developing for Microsoft (MS) Windows OS to include client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph and experience with embedded device development in at least one RTOSProgressive knowledge of AI / ML algorithms, particularly in the Generative AI domain, as well as in AI/ML optimization techniques for delivering models and algorithms into resource-constrained environments with advanced experience with Deep Learning libraries and runtimes such as PyTorch, Tensor Flow, TensorRT, and nuances of their application in end-user ecosystemsSolid communicator with the ability to explain difficult analytical methods to technical and business stakeholdersExperience working in software development or other cross-functional teams, with strong mentorship, and coaching skills Desirable skills
Experience working with cloud-based applications in Azure as well as leading small teamsFamiliarity with Open Neural Network Exchange (ONNX) models and the ONNX run time (ORT) as well as experience with at least one major hardware vendor toolchain such as Intel OpenVino, Qualcomm QNN, NVIDIA CUDA, or AMD Ryzen AI Software