AI Engineer (Experimental Systems and Technology Lab, GovTech)

What the role is

The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. GovTech aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore’s vision to build a a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today!

What you will be working on

Experimental Systems and Technology Lab (ESTL) of GovTech is an engineering team within the Ministry of Education (MOE). Our team aims to design and develop software applications that help MOE to transform their systems and services through digitalisation and innovation. The Edu Hub team in ESTL leads the development of next-generation data infrastructure to support MOE’s digitalisation ambitions. Our mission is to enable pervasive use of data to improve our education system, through the democratisation of datasets across MOE and open access to tools for the deployment of data products and machine learning applications.

As an AI Engineer on the Edu Hub team, you will architect and develop infrastructure to support modern data science and machine learning applications. You will develop systems for the deployment of machine learning applications in MOE HQ and schools.

• Develop and manage production services that enable data analytics, visualisation and machine learning capabilities for our various data users across MOE
• Work with data analysts and scientists to deploy big data and machine learning applications
• Develop and operationalise systems to securely collect, transform, and disseminate data at scale
• Engage product managers, engineers, data users, and business users to understand product requirements and design solutions
• Proactively identify and initiate worthwhile engineering projects to maximise the impact of MOE’s data and machine learning initiatives
• (For senior hires) Provide technical leadership for the data and machine learning engineering practice at MOE.
• (For senior hires) Establish practices and tools in order to maximise team effectiveness and impact
• (For senior hires) Recruit and mentor team members

What we are looking for

• Bachelor's Degree in Computer Science, Information Technology, Statistics, Engineering, or a related discipline
• Minimum 3 years experience with developing and deploying real-world machine learning applications
• Experience with cloud technologies (AWS, GCP, Azure, or equivalent)
• Experience with data systems, pipelines and architecture
• Experience with machine learning governance frameworks is a plus
• Passion towards working for public good with interest in the education domain in particular