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Company hidden
3 дня назад

AI Intern

Формат работы
hybrid
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Malaysia
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
AI Intern (LLM/Machine Learning): Researching and supporting the development of AI solutions for the card payment industry with an accent on LLM evaluation, data preprocessing, model fine-tuning, and AI API integration. Focus on experimenting with LoRA, quantization, and distillation while aligning AI infrastructure with PCI-DSS and GDPR requirements.

Location: Hybrid, Kuala Lumpur, Malaysia

Company

hirify.global develops secure payments technology used by businesses across five continents.

What you will do

  • Research advancements in large language models and related NLP technologies, and evaluate state-of-the-art methods.
  • Collect, clean, and preprocess datasets for model training and evaluation while supporting data quality analysis.
  • Design and execute experiments for LLM evaluation, feature selection, model training, hyperparameter tuning, and fine-tuning.
  • Help implement AI APIs and microservices for integration with enterprise applications.
  • Experiment with LoRA, quantization, and distillation to improve model efficiency.
  • Document methodologies and findings, prepare reports and presentations, and participate in technical discussions.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Engineering, or a related field.
  • Basic knowledge of natural language processing concepts and techniques.
  • Experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Familiarity with Pandas and NumPy, statistical analysis, and data visualization tools.
  • Strong analytical, problem-solving, communication, and teamwork skills.
  • Eagerness to learn and adapt in a fast-paced environment.

Culture & Benefits

  • Hybrid work environment in Kuala Lumpur.
  • Collaboration with colleagues from around the world on payment technology challenges.
  • Extensive training opportunities and support for professional development.
  • Opportunity to contribute to AI solutions in the card payment industry.

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