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Chief AI Technology Planning Architect

Framingham, MA, USA | Huawei

  • Industry:
    Telecommunications & Wireless
  • Position Type:
  • Functions:
    IT / Information Technology
  • Experience:
    7-10 years
Job Description:
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Job Responsibilities

Developing Huawei's IT productline AI technologies technical plan specifically identifying AI in key IT business areas (public security, finance and others).

Guiding Huawei R&D team to reserve key technologies in advance and support Huawei’s private cloud in public security, government, finance and large enterprises.

Collaborating and managing other experts to ensure that Huawei IT AI services are competitive commercially and technologically advanced.

Participating in Global customer discussions and exchanges to identify the latest developments in the latest AI technology.


Job requirements

Master's degree or above in AI with at least 8 years of IT expertise in (safe city, finance) data mining

Solid knowledge in AI industry applications, and has a proven track record in leading and influencing the AI product and strategic business development

In-depth understanding of all kinds of artificial intelligence algorithms including classical machine learning, graph calculation, and deep learning

Proven ability to provide insight into the core value proposition of AI services for customers in varied industries.Also, must have the ability to conduct comprehensive analysis on the current status and evolving progression of top AI products

Hands-on experience with distributed implementation of AI algorithms.Must understand the related components such as big data transmission and storage (such as Kafka, HDFS, Hive, etc.)

Knowledgeable on the evolution of AI algorithm technologies such as deep learning, new breakthroughs in AI Chips (GPU, FPGA and AISC), and able to make solid recommendations

Actively participate in related AIcommunities and technology forums to keep updated on the latest AI dynamics, open source ecosystems on various platforms, and the latest chip strategies

Familiarity with classic deep learning frameworks such as Tensorflow, MXNeT and Caffe  

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