AI Engineer (Compliance Solutions), Traineeship [GRIT@Gov]
IMDASingapore1 day ago
Full-timeEngineering, Information Technology
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[What the role is]
One of IMDA BizTech Group’s interest area is to develop solutions based on large language models (LLMs) that drive real-world innovation. Our team includes AI scientists and researchers, data engineers, and platform engineers who are passionate about scalable AI systems and responsible AI development.
We’re seeking a motivated and curious fresh graduate to join our AI engineering team. You will work closely with senior engineers to design, train, and evaluate large language models (LLMs). This is a hands-on role where you’ll gain deep exposure to cutting-edge machine learning techniques and infrastructure at scale.
[What you will be working on]
You will be working alongside product managers, AI scientists and engineers as one team to develop AI solutions for the compliance sectors. Responsibilities include:
One of IMDA BizTech Group’s interest area is to develop solutions based on large language models (LLMs) that drive real-world innovation. Our team includes AI scientists and researchers, data engineers, and platform engineers who are passionate about scalable AI systems and responsible AI development.
We’re seeking a motivated and curious fresh graduate to join our AI engineering team. You will work closely with senior engineers to design, train, and evaluate large language models (LLMs). This is a hands-on role where you’ll gain deep exposure to cutting-edge machine learning techniques and infrastructure at scale.
[What you will be working on]
You will be working alongside product managers, AI scientists and engineers as one team to develop AI solutions for the compliance sectors. Responsibilities include:
- With product managers, understand use cases and user workflows in compliance sectors
- Translate sectors needs to specific model tasks for AI scientist to develop model adaptation strategies
- Hands-on to create and validate testing data and model performance
- Contribute to the adaptation, testing and evaluation of LLMs.
- Assist in developing data processing pipelines and model adaptation workflows
- Collaborate with researchers on algorithmic improvements and performance optimization.
- Test and deploy models using distributed computing tools.
- Document experiments, results, and processes systematically.
- Degree holder in Computer Science, Engineering, Information Technology, or in relevant engineering discipline
- Basic understanding of machine learning fundamentals, including deep learning architectures.
- Interest in natural language processing (NLP), computer vision and/or agentic AI
- Coding experience in Python and Web programming
- Good communication skills, both verbal and written
- Ability to thrive in a dynamic, fast-paced environment
Key Skills
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