Data Scientist jobs in Singapore

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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 join a team of AI scientists, apprentices, data and software engineers. With the team, he or she will experiment and build AI solutions that can help Singapore companies improve their businesses using AI.

Duties and Responsibilities

• Develop infrastructure and applications for open-source data platforms.
• Develop and integrate multilingual, multicultural, and multimodal evaluation benchmarks to test the ability of LLMs.
• Work with partners to collect, translate, verify, and distribute datasets.
• Perform the necessary data preparation and analysis, AI modelling, coding, testing, validation, and deployment to ensure reliable and scalable AI solution.
• Collaborate with cross-functional teams within AI Products to design and resolve issues.
• Maintain code repository and documentation standards.
• Contribute to community engagement activities such as sharing via technical session meet-ups and article write-ups, and participating in discussion forums.
• Self-learn and experiment with new frameworks and technologies when necessary.
• Keep up to date with the latest research in multilingual, multicultural, and multimodal LLM evaluation.

• Current enrolment in a Bachelor's or Master's degree program in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field.
• Experience in writing production level code in Python and using version control systems such as Git.
• Familiarity with concepts related to database / backend development.
• Experience in AI/Machine learning frameworks such as Tensorflow and Pytorch.
• Strong written and verbal communication skills.
• Previous working experience in Large Language Models and/or Natural Language Processing will be advantageous.