Singapore, Singapore, Singapore

AI Engineer--Conversational AI

Salary: unknownMidData and machine learning

JavaPythonTensorFlowPyTorchscikit-learnLLMAWSAzureGCP

Original posting ↗Apply ↗Company job board ↗See this job in Telegram

Fuku, a company in manufacturing and hardware, is hiring for the role of AI Engineer--Conversational AI. The job is based in Singapore. Our labels mark it as a mid-level role in data and machine learning. The posting names TensorFlow, PyTorch, scikit-learn, LLM, AWS and Azure. It asks for 3+ years of experience. A university degree is required. Fuku has 202 open positions on this site, 28 of them in IT and engineering.

Posted 2 days ago · Last checked 2026-10-30

About Fuku

Manufacturing and hardware Non-tech company with an IT team 202 open positions, 14% in IT and engineering. Most open roles: Finance and legal (29), Sales (27), Non-software engineering and technicians (24).

All open jobs at Fuku →

Similar jobs

Staff Research Scientist, Localization and Mapping Venti Technologies · SingaporeOn-site Senior / Data Scientist (Model Training and Evaluation) , Giant Robots LabsGovTech · Singapore0 / hour ML/AI Engineer - A26411Activate Interactive Pte Ltd · Singapore, Singapore, Singapore Data Scientist - A26410Activate Interactive Pte Ltd · Singapore, Singapore, Singapore Senior ML/AI Engineer - A26409Activate Interactive Pte Ltd · Singapore, Singapore, Singapore Senior Data Engineer - A26408Activate Interactive Pte Ltd · Singapore, Singapore, Singapore Machine Learning Engineer 1Abnormal · Remote - SingaporeRemote (30378) Applied AI Engineer, NUSX LabsNUSX · Singapore, Singapore, Singapore

97 open data and machine learning jobs in Singapore All open jobs at Fuku →

Workplace	Workplace not stated
Seniority	Mid
Role	Data and machine learning
Countries	Singapore
Languages	JavaPython
Employment type	Full-time
Key facts	Stack: Java, Python, TensorFlow, PyTorch, scikit-learn, LLM, AWS, Azure, GCP · Experience: 3+ years · Degree required

The full description is on the original posting. Labels are set automatically and can be wrong. About the data