Data Scientist jobs in Malaysia
Junior AI Data Scientist: Multi-Agent ML & RAG Engineer
EY
Junior Data Scientist (Recent graduates are encouraged to apply)
EY
Data Scientist
Hibiscus Petroleum Berhad
Data Scientist: Drive Digital Transformation & AI Insights
Hibiscus Petroleum Berhad
Discover more opportunities than anywhere else. Find more jobs nowSenior AI Data Scientist & Solutions Architect
Exitra Sdn Bhd
Senior MMM Data Scientist – Marketing Analytics
Shell
Senior Executive, AI & Data Scientist
Exitra Sdn Bhd
Connect with headhunters to apply for similar jobsData Scientist: Predictive Analytics for Growth
The British American Tobacco Group
Junior Data Scientist — Hybrid Insurance Analytics
Merimen
Senior Executive, Data Analytics (Data Scientist) Department
Private Advertiser
AI & Data - Data Scientist, Experienced Associate/Senior Associate
Ernst & Young Advisory Services Sdn Bhd
Senior Data Scientist — AI & Data, Flexible Work
Ernst & Young Advisory Services Sdn Bhd
Senior Data Scientist: AI-Driven Supply Chain & Forecasting
Western Digital
Hybrid Finance Data Scientist: Predictive Analytics & AI
Advanced Micro Devices
Junior AI Data Scientist: Multi-Agent ML & RAG Engineer
Job summary
A leading global consulting firm in Kuala Lumpur is seeking professionals for a hands-on AI engineering role focusing on multi-agent systems and machine learning solutions. Responsibilities include designing agent architectures and integrating APIs. Ideal candidates should have a relevant degree and basic programming skills in Python, with knowledge of large language models and API protocols being advantageous. Join to develop future-focused skills in a flexible and diverse environment.
Benefits
Qualifications
- Minimum qualifications of a Diploma or Bachelor's degree in Computer Science, IT, Machine Learning, AI, or Data Science.
- Understanding of large language models, prompt engineering, and chaining strategies.
- End-to-end implementation of a machine learning model in a university or internship setting.
Responsibilities
- Assist in the design of multi-agent AI systems.
- Integrate agents with APIs, databases, and external tools.
- Develop and implement predictive models to support business goals.
- Ensure data quality and accuracy through validation and cleansing techniques.
Skills
Education
Tools
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.