Chief AI Technology Planning Architect
Framingham, MA, USA | Leading Telecommunications Company
Industry:Telecommunications & Wireless
Functions:IT / Information Technology
Job Description:70 people have viewed this job
Developing Leading Telecommunications Company's IT productline AI technologies technical plan specifically identifying AI in key IT business areas (public security, finance and others).
Guiding Leading Telecommunications Company R&D team to reserve key technologies in advance and support Leading Telecommunications Company’s private cloud in public security, government, finance and large enterprises.
Collaborating and managing other experts to ensure that Leading Telecommunications Company 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.
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