AI Product Architect
WILDFACES TECHNOLOGY LIMITEDPokfulamUpdate time: April 16,2020
Job Description

Telephone: +852 8216 2219 / +852 3892 7631

Description:

This position is suitable for someone who likes to learn and keep abreast of the latest AI Technology. This role requires prior product management experience. For suitable candidate, company will provide necessary AI training will grow him/her into industry advisory role in practical Artificial Intelligence (AI) arena.

Roles and Responsibilities

Provide Technical support that includes at least the following activities:

  • Become familiarized with the world’s most advanced AI applications
  • Good insight in industry AI related use cases
  • Assist internal R&D team as well as Customers in designing and providing appropriate architecture &  suitable AI solutions
  • Prepare and present Technical Proposal
  • Advise the use of appropriate technologies in setting various Pilot Projects
  • good understanding of various IoT devices

 

QUALIFICATIONS:

  • Master Degree with majors in Engineering, Computer Science, STEM (Science Technology Engineering Maths) or equivalent
  • Good documentation skills
  • Good understanding of IT terminology, networking concept, AI, System Architecture
  • Good understanding of IoT devices and other hardware
  • Good analytical and problem-solving skills

 

Benefits

Training and on-the-training on AI will be provided.

Selected candidate will be going through various management training program and one of the following career development plans can be arranged for suitable candidate

  • trained to become an industry specialist in Artificial Intelligence arena
  • Can grow into a leadership role
  • Progress into Solution Consultant or into a substantial role in the R&D team – depending on the preference and aptitude of the candidate.

Gain hands-on practical knowledge and experience necessary to become an AI Expert.

 

Brief Company Introduction:

WildFaces’ patented disruptive Vision-based Artificial Intelligence Technology that can perform “Anonymous” Face Recognition and Track On-the-Move in extreme crowds in real time at significant distances with minimal infrastructure. Using video streams from drones, smart-glasses, body-worn cameras and even smartphones. 

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