Job Description

[What the role is]One of IMDA BizTech GroupaEUR(TM)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 ethical responsible AI development.

WeaEUR(TM)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 youaEUR(TM)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 grow a legal domain model, GPT-Legal. Responsibilities include:

Engage lawyer volunteers and analyse demand use cases

Interpret the use cases and translate to specific model tasks for AI scientist to develop model training strategies

Hands-on with lawyers to create and validate training data and model performance

Contribute to the training, fine-tuning, and evaluation of LLMs.

Assist in developing data processing pipelines and model training workflows

Collaborate with researchers on algorithmic improvements and performance optimization.

Test and deploy models using distributed computing tools.

Document experiments, results, and processes systematically.

[What we are looking for]

Degree holder in Computer Science, Engineering, Information Technology, or in relevant engineering discipline or law with technology modules

Basic understanding of machine learning fundamentals, including deep learning architectures

Coding experience in Python and Web programming

Interest or prior project in either one of the following areas:

Natural Language Processing (NLP), recommendation system and/or Synthetic AI

AI tasks optimisation

Good communication skills, both verbal and written

Ability to thrive in a dynamic, fast-paced environment

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