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Jobs in Singapore   »   Jobs in Singapore   »   Engineering Job   »   AI Engineer for AI Singapore (Innovation)
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AI Engineer for AI Singapore (Innovation)

National University Of Singapore

National University Of Singapore company logo

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

AI Singapore (AISG) is a national AI programme launched by the National Research Foundation (NRF) to anchor deep national capabilities in Artificial Intelligence (AI).

The programme office is hosted by the National University of Singapore (NUS) and brings together all Singapore-based research institutions and the vibrant ecosystem of AI start-ups and companies developing AI products to perform use-inspired research, grow the knowledge, create the tools, and develop the talent to power Singapore's AI efforts.

The candidate will be seconded to a company under the Technology for Enterprise Capability Upgrading for Artificial Intelligence (T-UP(AI)) scheme. He or she will experiment and help the company in building up R&D or technological innovation in AI.

Depending on the candidate's experience, the candidate may be expected to provide technical leadership, engage stakeholders, mentor and guide junior engineers in the project.

  • Develop software and system applications using software engineering and AI technologies.
  • Collaborate with other teams to design AI solutions.
  • Maintain code repository, develop new features, and resolve issues raised by users.
  • Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation and deployment to ensure reliable and scalable AI solution.
  • Mentor AI apprentices throughout project duration.
  • Contribute to community engagement activities such as conducting meetups, technical sharing, blogging and participating in discussion forums.

Qualifications

  • Degree in computer science, machine learning, statistics, AI, and other relevant equivalent quantitative fields.
  • Experience in writing production level code in Python and/or C++
  • Strong background in other programming languages will be advantageous.
  • Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
  • Experience in using deployment tools such as Docker.
  • Data story-telling, information visualisation and technical writing skills.

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