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Equipment Development Engineering Intern (AI)

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

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TL;DR

Equipment Development Engineering Intern (AI): Designing and developing machine learning dashboards for equipment development with an accent on image and video AI analytics and LLM chatbots. Focus on fine-tuning and optimizing performance scalability and reliability within the equipment development domain.

Location: Onsite at Woodlands, Singapore

Company

hirify.global is a global leader in data storage innovation, providing precision-engineered solutions to help the world manage exponential data growth.

What you will do

  • Design and develop machine learning dashboards for image and video AI analytics.
  • Develop and implement Large Language Model (LLM) chatbots tailored for the equipment development domain.
  • Perform fine-tuning and optimization to ensure performance scalability and reliability.
  • Transform data science prototypes into production-ready industrial solutions.

Requirements

  • Currently pursuing a Bachelor's degree in Electrical & Electronics Engineering, Computer Science, Data Science, AI, or a similar engineering field.
  • Proficiency in Python and the Pytorch library or other machine learning frameworks.
  • Basic knowledge of web design.
  • Ability to commit to a full internship from January to June.
  • Must be able to work onsite at the Woodlands site in Singapore.

Nice to have

  • Prior experience in data science and AI technology through academic or personal projects.
  • Preliminary skillsets in image processing and graphics programming.
  • Interest or experience with GenAI, SNN, CNN, ResNet, YOLO, LLM, and Agentic AI.

Culture & Benefits

  • Access to extensive onsite facilities including a canteen, coffee shop, gym, and dance studio.
  • Active workplace community with after-work sports competitions like badminton and table tennis.
  • Engagement in onsite celebrations and community volunteer opportunities.
  • Collaborative environment within a high-performing, multi-disciplinary engineering team.

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