AI Data Scientist
At a glance
- Posted
- 19 June 2026
- Type
- Contract
- Country
- Singapore
- Skills named
- agile, c++, deep learning, machine learning, prompt engineering, prototyping, python, pytorch
- Application form
- Workable
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We are looking for a Data and 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 a subject-matter expert in crossfunctional 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 on 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.
Key Responsibilities
- • 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 and deploy 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
- Requirements
- Requirements
- 1. Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent
- 2. Strong technical knowledge in AI
- 3. Good understanding of the latest research and technologies in AI for production deployment
- 4. Strong coding experience in programming languages such as
- Python and/or C++
- 5. Experience working with libraries for data manipulation, visualization, machine learning, and reporting. 6. Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch
- 7. Extensive experience with OpenAI and Claude code-based prompt engineering.
- 8. Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases.
- 9. Strong understanding of 3D geometry, vector math, and coordinate systems
- 10. Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformations
- 11. Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js)
- 12. Team player with the ability to work in a cross-functional team with excellent interpersonal skills
- Strong communication skills, both verbal and written, as well as strong presentation and engagement skills Position will commensurate with experience.