1 месяц назад
Equipment Development Engineering Intern, AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Equipment Development Engineering Intern, AI (Python/PyTorch): Developing machine learning dashboards for automated manufacturing equipment, including image and video AI analytics and an LLM chatbot, with an accent on scalability, performance optimization, and reliability. Focus on fine-tuning AI solutions, applying computer vision and generative AI technologies, and transforming data science prototypes into production-ready systems.
Location: Woodlands, Singapore; onsite equipment development site. Travel: None.
Company
develops data storage products and intelligent automated manufacturing equipment, including precision assembly and vision inspection systems.
What you will do
- Assist in designing and developing machine learning dashboards for equipment development.
- Build solutions for image and video AI analytics.
- Contribute to the development of a large language model chatbot.
- Fine-tune and optimize AI solutions for performance, scalability, and reliability.
- Help transform data science prototypes into production-ready solutions for automated manufacturing equipment.
Requirements
- Currently pursuing a bachelor's degree in electrical and electronics engineering, computer science, data science, computing in artificial intelligence, or a similar engineering discipline.
- Knowledge of Python, web design, PyTorch, and/or other machine learning frameworks.
- Strong analytical, organizational, and time-management skills.
- Ability to work independently and collaboratively with a self-motivated, positive, and adaptable approach.
- Availability for the full internship period from January to June.
Nice to have
- Experience with data science and AI projects.
- Preliminary skills in image processing and graphics programming.
- Interest in GenAI, SNN, CNN, ResNet, YOLO, LLM, and Agentic AI tools.
Culture & Benefits
- Work within a fully integrated equipment development group spanning mechanical, embedded systems, electrical, software, and vision disciplines.
- Contribute to IIoT, AI, machine learning, and data analytics solutions for smart manufacturing.
- Onsite canteen and coffee shop with breakfast, lunch, dinner, and snacks.
- Access to an in-house gym, dance studio, and after-work badminton and table tennis activities.
- Participation in onsite celebrations and community volunteer opportunities.
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