Machine Learning Engineer

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

About our team:

Huawei’s Ascend AI Platform provides full-stack (from chip to app) all-scenario (device-edge-cloud) solutions for AI applications https://www.huaweicloud.com/intl/en-us/ascend/home.html. In your job, you will learn about:

• Huawei’s Ascend AI processor: Ascend310 for inference, Ascend910 for training
• CANN: chip enabling library and toolkit
• MindSpore: Unified training and inference framework for device, edge, and cloud
• APIs for building AI applications

Responsibilities:?

In the job, you will contribute to the Ascend AI Ecosystem by:

• Working closely with internal R&D divisions. Train and deploy cutting-edge deep learning algorithms (computer vision/NLP) on the Ascend AI platform
• Designing and building novel deep learning applications on edge device - Atlas 200 DK development board (https://support.huaweicloud.com/intl/en-us/productdesc-A200dk_3000/atlas200_DK_pdes_19_0007.html)
• Involving in education and research cooperation with universities and industries

Qualifications

• Obtained or in pursuit of Master Degree or higher in Computer Science, Electrical Engineering or related field.
• Extensive knowledge in deep learning (computer vision preferred)
• Experience with deep learning frameworks, e.g. Tensorflow, Pytorch
• Solid Python programming skills?
• Experience with working with and managing Github.
• Proficiency in Linux environments
• Good communication and documentation skills
• Quick learner and creative minds in building deep learning applications
• Fluent in both English and Mandarin

Nice to have:

• Development experience in embedded systems, or robotics
• Experience with MindSpore, Atlas 200 DK, or TBE
• C++ programming skills

Additional Information

This is a 12-month contract opportunity with possible extensions