Machine Learning Engineer

Key Skills

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

Job Description

Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. With integrated solutions across four key domains – telecom networks, IT, smart devices, and cloud services – we are committed to bringing digital to every person, home and organization for a fully connected, intelligent world.
At Huawei, innovation focuses on customer needs. We invest heavily in basic research, concentrating on technological breakthroughs that drive the world forward. We have more than 180,000 employees, and we operate in more than 170 countries and regions. Founded in 1987, Huawei is a private company fully owned by its employees.

About Huawei Canada
Huawei Canada helps connect Canadians to world-leading high-speed wireless Internet – and supplies them with cutting-edge smart devices. In partnership with Canadian telecommunications providers, we work to bring the benefits of a reliable and secure digital experience to every person, home and organization, including those in rural and remote areas of the country. Huawei first came to Canada in 2008. Today, the company employs more than 1,100 Canadians in research and development, IT, sales and other fields. Huawei Canada is an active supporter of many charitable and community initiatives from coast to coast.

Job Description

You will have the opportunity to work on real-world problems that impact people across the globe. Many of our researchers are actively involved in publishing conference and journal papers, inventing patents, and solving challenging technical problems. With cutting-edge tools, access to highly specialized leaders and researchers, and significant funding, you will be well supported to fulfill your potential and pursue your professional dreams.

Job Description

• Analyze, implement, and benchmark machine learning/deep learning-related data security and privacy protection algorithms from published papers/open sources/products;
• Research and build Proof-of-Concept (PoC) applications leveraging ML/DL algorithms for data security and privacy protection;
• Perform integration and test procedures and create technical documentations;
• Participate in the on-going support of applications and communicate insights to clients that lead to quantifiable business impact;
• Involving in education and research cooperation with universities and industries.
• Keeping up-to-date on recent advances of machine learning and data security and privacy fields
   

Qualifications

• Master's or Ph.D. degree in Computer Science, or Machine learning related field; or equivalent work experience in the field
• Extensive knowledge in machine learning, deep learning; good understanding of data security and privacy concepts: encryption, authentication, access control, anonymization, differential privacy.
• Solid programming skills; good knowledge in developing and debugging in C/C++ and experience with scripting languages such as Python and shell scripts.
• Experience with deep learning frameworks, e.g. Tensorflow, Pytorch, MxNet
• Experience with working with and managing Git.
• Proficiency in Linux environments, docker
• Good communication and documentation skills