AI Engineer for AI Singapore

2 weeks ago


Singapore National University Of Singapore Full time

Interested applicants are invited to applydirectly at the .

Your application will be processed only if you apply via .

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.

To join us and be part of a dynamic, Research team consisting of developers, AI engineers and data engineers to build AI apps and services with the AI Singapore collaborators.

Duties & Responsibilities

  • You will participate in the full research to deployment pipeline and help conceptualize, develop research experiments, and then implement the systems to execute these experiments.
  • You will work with a team and interact closely with both the academic researchers and the industry partners.
  • You will attend reading groups and seminars, master research techniques and engineering practices, and design research tools and experimental testbeds.
  • You will apply state-of-the-art AI algorithms, explore new solutions, and build working prototypes. You will also learn to deploy the systems and solutions at scale.
Qualifications
  1. A Bachelor's or Master's degree in AI, computer science, or related disciplines
  2. Strong system-building skills and keen interests in working with emerging technologies and frameworks
  3. Solid background in AI and machine learning
  4. Past experiences in:
  • Open source DevOps tools and software as a service solutions
  • Development and implementation of AI and machine learning algorithms
  • Related work at a commercial company or industrial research lab

5. Good communications skills in both written and verbal English and

6. An adventurous spirit and willingness to learn and experiment with new ideas and new domains.



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