AI, data & integration jobs worldwide

[What we are looking for]

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Degree in Computer Science, Applied Mathematics, Physics, or a related AI/ML discipline.

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At least 3 years of relevant experience in modelling or machine learning, with a focus on deep learning for physical systems.

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Strong Python skills and experience with GPU-accelerated high-performance computing.

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Experience working with scientific or physics-based datasets.

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Understanding of how to combine geospatial outputs with neural solvers to build spatially-aware AI models that respect geographic constraints.

Good to have

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Hands-on experience with NVIDIA PhysicsNeMo.

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Familiarity with time-series forecasting for IoT sensor data streams.

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Experience with Physics-Informed Neural Networks (PINNs) or Neural Operators such as FNO or DeepONet.

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Background in reinforcement learning for autonomous systems such as vessels or drones.

What we offer you:

GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.

Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.

We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.

Learn more about life inside GovTech at go.gov.sg/GovTechCareers.

Stay connected with us on social media at go.gov.sg/ConnectWithGovTech