TL;DR

AI Intern (AI Engineering): Researching, evaluating, and supporting the development of cutting-edge AI solutions in the card payment industry with an accent on LLM model fine-tuning, API implementation, and ensuring security compliance. Focus on conducting literature reviews, assisting in data preprocessing, and designing experiments to evaluate model performance.

Location: Hybrid in Kuala Lumpur, Malaysia

Company

%hirify_global% is a global leader in payment technology, enabling businesses to grow through secure and simple payment solutions.

What you will do

Conduct literature reviews on current advancements in large language models (LLMs) and related NLP technologies.
Assist in gathering, cleaning, and preprocessing datasets for model training and evaluation.
Support in designing and executing experiments to evaluate existing LLMs, including feature selection, training, and hyperparameter tuning.
Assist in fine-tuning LLM models and implementing AI APIs and microservices.
Document research findings, methodologies, and model development processes, preparing reports and presentations.
Stay updated on the latest trends in AI, LLM, and machine learning, experimenting with optimization techniques like LoRA.

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or Engineering.
Basic knowledge of natural language processing (NLP) concepts and techniques.
Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with data manipulation tools like Pandas and NumPy.
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.

Culture & Benefits

Opportunity to research, evaluate, and support the development of cutting-edge AI solutions.
Gain hands-on experience with innovative AI/LLM models and agent-to-agent automation.
Commitment to helping employees accelerate their careers and shape the evolution of payment technology.
Work in a fast-paced environment that values passion, innovation, and a hunger to learn.
Participate in team meetings, discussions, and brainstorming sessions.