Machine Learning Engineer

Dell Technologies; Singapore; On-site; SGD 125,000 - 150,000; Full time

Job summary

A global technology company in Singapore is seeking a Machine Learning Engineer to contribute to AI initiatives within their Client Solutions Group. The role involves integrating AI applications, developing tailored solutions for client devices, and translating business needs into data-driven insights. Ideal candidates will have a Master’s degree in a quantitative field and experience in software development, especially in AI/ML contexts. Join a team dedicated to innovation and impact in the technology space.

Qualifications

• Master's degree or higher in a quantitative field or Bachelor with significant experience.
• Experience with Microsoft Windows OS and embedded device development.
• Strong understanding of AI / ML with practical experience.

Responsibilities

• Integrate and deploy AI applications on client devices.
• Develop AI / ML software solutions tailored for client silicon.
• Translate business questions into compelling use cases using data.

Skills

AI / ML optimization techniques

Knowledge of C, C++, Microsoft C# / .NET

Experience with Deep Learning libraries

Ability to work with analytical methods

Good communication skills

Education

Master's degree or higher in AI / ML, Computer Science, Statistics, Mathematics

Tools

PyTorch

TensorFlow

Microsoft Windows SDKs

NVIDIA CUDA

Job description

Machine Learning Engineer

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 Machine Learning Engineer on our Client Solutions Group (CSG) Chief Technology Officer (CTO) Advanced Architectures Team in the Singapore Design Center.

What you’ll achieve

As a Machine Learning Engineer on the CSG CTO Advanced Architectures team, you’ll gain applied data science experience, working on a team of data scientists and embedded software 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, implementing algorithms, working with data scientists, data, and embedded SW engineers to rapidly develop, and deploy AI-enabled solutions for millions of end users.

You will :

• Work with engineering 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 AI / ML frameworks, endpoint & real-time OSes, 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

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role :

Essential Requirements

• Master's degree or higher in AI / ML, Computer Science, Statistics, Mathematics, or other Engineering & Scientific fields with a significant quantitative component; Bachelors + 5 years, MS + 3 years minimum, or PhD.
• Some experience developing for Microsoft (MS) Windows OS including client Software Development Kits (SDKs), MS DirectML, WinML, MS Graph, and experience with embedded device development in at least one RTOS
• Solid knowledge of AI / ML optimization techniques for delivering models and algorithms into resource-constrained environments including the ability to deliver AI / ML algorithms using one or more of C, C++, and Microsoft C# / .NET as well as strong experience with Deep Learning libraries and runtimes such as PyTorch, TensorFlow, TensorRT, and nuances of their application in Client ecosystems
• Good communicator with the ability to understand analytical methods and algorithms with a solid understanding of Large / Small Language Models, Machine Learning, Deep Learning, and Generative AI.
• Experience working in software development or other cross-functional teams

Desirable Requirements

• Bachelor’s degree / Master’s degree, solid knowledge and application of engineering concepts along with effective problem-solving ability
• Familiarity with development in real-time embedded environments and experience working 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