Job Description
IMDA is spearheading Singapore’s drive to be a world leading Digital Economy. We want to empower our companies and workforce with digital technologies and enable Singapore to be a leading Digital Economy globally.
As the biz-tech group, we promote the use of technologies for our industries. We are looking for an AI Scientist to design and develop reusable, scalable, and cost-effective cloud-native data and AI products. You will be part of an AI development team responsible for exploring and developing applications with current state-of-the-art AI technologies. You will participate as an AI subject-matter expert in cross-functional teams working on addressing common industry challenges with data and AI. Successful candidates will be working in a fast-paced environment and participate in multiple projects with technology partners from the industry to develop data-driven and AI-driven products and services that could make a significant positive impact to society.
If you are passionate in ML, always curious about the latest AI development and have been practically working on the real-world problems, join us in our journey, and jointly architect Singapore’s digital future.

REQUIREMENTS

• Postgraduate or Ph.D. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent
• Strong technical knowledge in AI, specifically in Computer Vision (CV), Natural Language Processing (NLP), recommendation system and/or Synthetic AI
• Good understanding of the latest research and technologies in AI for production, including deployment to mobile handsets and IOT devices
• Strong coding experience in programming languages such as Python, C++
• Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
• Team player with the ability to work in a cross functional team with excellent interpersonal skills
  Position will commensurate with experience.
  

  LI-JL2

• Work with product owners, engineering teams, and industry partners throughout the product development lifecycle from concept, design, prototyping, acceptance testing, data curation, delivery, operationalisation, industry proliferation, to product end-of-life
• Technical assessment on the maturity, viability, and suitability of AI research, technologies and trends that are relevant to the industry
• Develop software components based on microservices-based architecture
• Participate in agile secure software development processes and best practices, documentation of user requirements and software codes during the software development lifecycle
• Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs
• Write thought leadership articles, including blogs and papers, on AI
• Transfer technology to industry partners.
• Technical engagement and collaboration with research institutes and institutes of higher learning