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ARTIFICIAL INTELLIGENCE MANAGER

FENG BUILDER PTE. LTD.

Data & AIManagerFull-timeHougang, Sengkang, Serangoon Garden, Punggol, Singapore

Job Description

Job Description We are seeking an innovative Artificial Intelligence Specialist to spearhead the development and deployment of cutting-edge machine learning models and intelligent automation systems. You will collaborate closely with cross-functional engineering and data teams to architect scalable AI solutions, optimize deep learning algorithms, and integrate advanced generative models into our core product ecosystem. The ideal candidate possesses a strong foundation in computer science, extensive hands-on programming expertise in Python, and a proven track record of translating complex data into impactful, real-world technological applications. Join us to shape the future of intelligent software. Requirements Industry Background: Must have hands-on internship experience, professional work history, or solid project portfolios related to the Architecture, Engineering, and Construction (AEC) or building industry. Education: Master’s Degree in Computing, Computer Science, Artificial Intelligence, Data Science, Mathematical Sciences, or a related quantitative field. Programming & Development Skills: Strong command of Python and experience with other languages such as Java, Swift, JavaScript, or C++.Familiarity with full-stack and backend frameworks and development tools. Data Science & Machine Learning Expertise: Solid grounding in machine learning principles, data pre-processing, feature engineering, and model evaluation using standard libraries. Demonstrated capability through academic projects, hackathons, or competitive data science tasks. Problem-Solving & Collaboration: Exceptional analytical and troubleshooting abilities proven through full-stack app development or algorithmic problem-solving; effective communication skills for working independently or collaboratively. Fresh Graduates: Highly motivated recent graduates or postgraduates with strong technical portfolios and relevant project experience are strongly encouraged to apply.

Listing closes 5 Dec 2026.

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