M04 - Data Scientist at FPT Asia Pacific Pte Ltd

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Sep, 26

Salary

0.0

Posted On

19 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C++, TensorFlow, PyTorch, Prompt Engineering, RAG, Vector Databases, Graph Databases, 3D Geometry, Mesh Manipulation, OpenGL, CGAL, Three.js, Microservices, Agile, Data Curation

Industry

IT Services and IT Consulting

Description

Overview 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 cross-functional 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. 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 written, as well as strong presentation and engagement skills

Responsibilities

Design and develop scalable, cloud-native AI products and software components using microservices architecture. Collaborate with cross-functional teams to implement and validate algorithms that address industry challenges.