Senior Consultant, Data Science at Dell Technologies

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

22 Feb, 26

Salary

0.0

Posted On

24 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI, Machine Learning, Deep Learning, Software Development, Data Engineering, Cloud Applications, Generative AI, Communication, Leadership, Embedded Systems, Data Pipelines, Microsoft Windows, RTOS, ONNX, TensorFlow, PyTorch

Industry

Computer Hardware Manufacturing

Description

Data Scientist / Architect 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 / Architect with our Client Solutions Group (CSG) Chief Technology Officer (CTO) Team in Singapore Design Center. What you’ll achieve As a Data Scientist / Architect on the CSG CTO team, you’ll gain experience as a lead Data Scientist with a strong AI/ML focus, leveraging established university and industry contacts, leading a team of engineers for applied Artificial Intelligence and Machine Learning solutions across the client devices portfolio. In this role, you will be responsible for driving technical CTO AI initiatives, and working with a team of data scientists, AI, data, and embedded SW engineers to research, develop, and deploy AI-enabled solutions for millions of end users. Responsibilities Guide and work with teams of HW & SW engineers, data scientists, and data engineers to deliver the complete life cycle of complex AI/ML solutions on client devices. Architect AI/ML software solutions tailored for client silicon using strong knowledge of client device ecosystem nuances and complexities Collaborate with engineering and operations teams to architect and develop data pipelines spanning the client ecosystem, both on and off device as well as collaborate across organizations, with engineering and operations teams to integrate and deploy ML solutions across client devices with cloud integration Participate with PC business units to synthesize business questions and translate them into architecture. Keep up with latest trends in Generative AI across the industry. Deliver experiences using data, advocate and execute strategies to adopt data and data science in all business and architectural resolutions Provide AI-enabled concepts by working with marketing and engineering teams to define, plan, and develop a product roadmap Requirements Master's degree in AI/ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component Advanced experience with development in the Microsoft (MS) Windows OS including with client SDKs including MS DirectML, WinML, and MS Graph as well as with embedded device development in RTOS environments 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 Excellent communication skills and the ability to explain difficult analytical methods to technical and business stakeholders Evidence of leadership skills in software development, data science organizations, or other cross-functional teams, with advanced leadership, mentorship and coaching skills. Desirable skills Experience working with cloud-based applications in Azure as well as guiding teams across multiple programs and interacting across organizations Experience working with Open Neural Network Exchange (ONNX) models, the ONNX run time (ORT), and Execution Provider (EP) development as well as advanced use of hardware vendor toolchains 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: 31-December-2025 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. Dell Technologies helps organizations and individuals build their digital future and transform how they work, live and play. The company provides customers with the industry’s broadest and most innovative technology and services portfolio for the data era.

Responsibilities

As a Data Scientist / Architect, you will guide teams to deliver complex AI/ML solutions on client devices and collaborate with various engineering teams to develop data pipelines. You will also participate in synthesizing business questions and translating them into architecture.