AI Data Scientist

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 Background in engineering, computer engineering, computer science, mathematics, statistics or equivalent Strong technical knowledge in AI Good understanding of the latest research and technologies in AI for production deployment Strong coding experience in programming languages such as Python and/or C++ Experience working with libraries for data manipulation, visualization, machine learning, and reporting. Hands-on experience with one or more deep learning frameworks, e.g., TensorFlow, Torch Extensive experience with OpenAI and Claude code-based prompt engineering. Hands-on experience developing and deploying AI Agents, RAG and vector/graph databases. Strong understanding of 3D geometry, vector math, and coordinate systems Experience with algorithms for mesh manipulation, Boolean operations, and geometric transformations Proficiency in relevant 3D modeling or CAD software (e.g., Blender, Rivet) and/or programming libraries (e.g., OpenGL, CGAL, Three.js) Team player with the ability to work in a cross-functional team with excellent interpersonal skills Strong communication skills, both verbal and…