AI Scientist – Generative AI & 3D Technology | Contract

Job Responsibilities

• Collaborate with product owners, engineering teams and industry partners throughout the product development lifecycle, from concept and prototyping to testing, deployment, operationalisation and product end-of-life.
• Evaluate the maturity, viability and suitability of emerging AI technologies, research and industry trends for production use.
• Design, develop and deploy AI and software solutions using microservices-based architecture.
• Participate in Agile and secure software development processes, including requirements gathering, technical documentation, coding and testing.
• Develop, implement and validate AI algorithms while considering factors such as transparency, fairness, scalability, security, integration complexity and operational costs.
• Develop and deploy AI Agents, Retrieval-Augmented Generation (RAG) solutions and applications using vector or graph databases.
• Apply Generative AI and prompt engineering techniques using platforms such as OpenAI and Claude.
• Work with data manipulation, visualisation, machine learning and reporting libraries to support AI development and deployment.
• Develop and optimise solutions involving 3D geometry, vector mathematics and coordinate systems.
• Apply algorithms for mesh manipulation, Boolean operations and geometric transformations.
• Work with 3D modelling/CAD software and relevant programming libraries such as Blender, Revit, OpenGL, CGAL or Three.js.
• Work closely with cross-functional teams to deliver scalable and production-ready AI solutions.

Job Requirements

• Degree in Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a related discipline.
• Strong technical knowledge and hands-on experience in Artificial Intelligence and Machine Learning.
• Good understanding of current AI research, technologies and best practices for production deployment.
• Strong programming skills in Python and/or C++.
• Experience with data manipulation, visualisation, machine learning and reporting libraries.
• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.
• Extensive experience in Generative AI and prompt engineering, including OpenAI and Claude-based solutions.
• Hands-on experience developing and deploying AI Agents and RAG solutions.
• Experience working with vector databases and/or graph databases.
• Strong understanding of 3D geometry, vector mathematics and coordinate systems.
• Experience with mesh manipulation, Boolean operations and geometric transformation algorithms.
• Proficiency in 3D modelling/CAD software such as Blender or Revit, and/or programming libraries such as OpenGL, CGAL or Three.js.

Interested candidates are invited to apply via the “Apply Now” button.

We regret that only shortlisted candidates will be notified.

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EA License No: 26C3616
EA Personnel: Ching Ning Xin
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