Equipment Development Engineering Intern (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Equipment Development Engineering Intern (AI) (Python/PyTorch/Computer Vision): Developing machine learning dashboards and AI analytics for intelligent automated manufacturing equipment with an accent on image and video analytics, data-driven equipment intelligence, and LLM chatbot solutions. Focus on fine-tuning and optimizing AI systems, converting data science prototypes into production-ready solutions, and improving scalability and reliability.
Location: Onsite at the Woodlands manufacturing site in Singapore
Company
develops precision-engineered data storage solutions and intelligent manufacturing technologies for managing the growing global datasphere.
What you will do
- Assist in designing and developing machine learning dashboards for equipment development.
- Build image and video AI analytics solutions for automated manufacturing equipment.
- Contribute to the development of large language model chatbot applications.
- Fine-tune and optimize AI solutions for performance, scalability, and reliability.
- Collaborate with multidisciplinary engineering teams across software, vision, embedded systems, electrical, and mechanical disciplines.
- Help transform data science prototypes into production-ready solutions.
Requirements
- Currently pursuing a bachelor's degree in electrical and electronics engineering, computer science, computer engineering, data science, artificial intelligence, or a related engineering field.
- Knowledge of Python, web design, PyTorch, and/or other machine learning frameworks.
- Foundational knowledge of image processing, graphics programming, or related AI technologies.
- Strong analytical, organizational, and time-management skills with the ability to work independently.
- Self-motivated, collaborative, and willing to learn new technologies.
- Availability for the full internship period from January through June.
Nice to have
- Experience with data science and AI projects.
- Exposure to GenAI, SNN, CNN, ResNet, YOLO, LLM, or agentic AI.
- Experience developing intelligent automation or manufacturing solutions.
Culture & Benefits
- Work within a cohesive, multidisciplinary equipment development team.
- Access to an onsite canteen, coffee shop, gym, and dance studio.
- Employee activities include badminton, table tennis, celebrations, and community volunteering.
- The Woodlands site is accessible by bus and MRT.
- No travel is required for the role.
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