Data Science Senior Advisor

Posted 12 Hours Ago
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Singapore
Senior level
Cloud • Hardware • Internet of Things • Software • Business Intelligence
The Role
As a Senior Advisor Data Scientist, you'll collaborate with a team to develop AI and ML solutions across client devices. This role involves integrating AI applications, optimizing ML models, and translating business questions into data-driven insights. You will also work closely with engineering teams to ensure effective deployment of applications.
Summary Generated by Built In

Data Science Senior Advisor

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 Senior Advisor 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 Senior Advisor 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 integration
  • Work 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 complexities
  • Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models for delivery onto client devices
  • Translate 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 conclusions.

Requirements

  • 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 RTOS
  • Progressive 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 ecosystems
  • Solid communicator with the ability to explain difficult analytical methods to technical and business stakeholders
  • Experience 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 teams
  • Familiarity 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 


Who we are

We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
Application closing date: 30 Sept 2024
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here

Top Skills

AI
Data Science
Machine Learning
The Company
HQ: Round Rock, TX
141,260 Employees
On-site Workplace
Year Founded: 1984

What We Do

Technology drives human progress. This tenet is the core of our business and vision. Our customers and team members are integral to our continuing success as we provide the essential infrastructure for organizations to transform their digital futures.

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