AI Researcher (PhD with AI Paper Published Required)

Responsibilities:
- Hardcore Programming Skills on Implementing Deep Learning Models  
- Innovate Agent AI & Computer Vision Methodology; Train & Fine-Tune LLM; 
- Innovate NLP LLM, VLM, MLLM Model & Methodology; Train & Fine-Tune LLM; 
- Innovate GenAI Model & Methodology; Train & Fine-Tune the model;
- Data Science & Analytics in Big Data/AI Projects
- R&D on AI Video / Image Analytics, Audio Analytics, Time Series Analytics, NLP Model Development
 

Requirements:
- PhD in Computer Science AI (or Top Academic Result in Public Exam)
- At least 1 AI Conference Paper Published
- Practical Experience on Training/Fine-Tuning NLP LLM & Related Technology (such as RAG)
- Practical Experience on Training/Fine-Tuning Computer Vision & Related Technology (such as Diffusion Model)
- Strong Programming Skill on Deep Learning Model Implementation
- Strong in Algorithm Design and Programming Implementation 
- Familiar with Linux OS environment for development
- Strong Academic or Strong Mathematics or Strong Experience is preferred
- Understand Machine Learning Algorithms

We are looking for someone who is ...
- Ready for strong commitment to the team
- Ready to tackle tough technical tasks in programming
- Ready to invest time in building career
- Eager for success ; Expected to be a leader within 2-5 years
- Work Hard, Play Hard

Remuneration
- Salary are correlated with technical competence (Level 1 - 13)
- Good remuneration for good performance and strong contributor
- Attractive discretionary bonus for good performer

Smart Fresh graduate will be considered and on-job-training will be provided.
Candidate with more experience will be considered as Senior/Team lead role.
Student Placement will be considered.

Benefits:
Attractive remunerations will be offered to the successful candidates
Excellent opportunity to further develop your professional skills

The information provided will be treated in strict confidence and be used only for consideration of your application for relevant / similar posts within the Group/ Company.