Machine Learning and Generative AI Intern (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning and Generative AI Intern (AI): Developing Generative AI-powered user interfaces for engineers to interact with structured data through natural language with an accent on natural language interfaces and AI Agents. Focus on prototyping GenAI tools, building responsive UI components, and automating analysis for industrial data.
Location: Onsite in Woodlands, Singapore
Company
is a global leader in data storage innovation, providing precision-engineered solutions to manage exponential data growth.
What you will do
- Develop and prototype natural language interfaces for querying and interpreting structured production metrics and test results.
- Build responsive, intuitive user-facing components to interact with GenAI models such as OpenAI and FastAI.
- Collaborate with engineering and IT teams to implement AI Agents and tools that improve productivity and analysis automation.
- Map domain-specific workflows and data relationships in coordination with media development engineers.
- Perform testing and iteration cycles based on user feedback and performance evaluations.
Requirements
- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, or Basic Engineering Science (Physics, Electrical, Mechanical, Material Science, Chemistry).
- Proficiency in Python programming.
- Familiarity with GenAI frameworks (OpenAI API, FastAI, etc.).
- Knowledge of machine learning, deep learning, and natural language processing (NLP).
- Must be based in or able to work on-site in Woodlands, Singapore.
Culture & Benefits
- Access to on-site amenities including a canteen, coffee shop, gym, and dance studio.
- Active corporate culture with after-work sports competitions (badminton, table tennis).
- Opportunities for community volunteering and on-site celebrations.
- Exposure to real-world industrial Generative AI applications within a large-scale manufacturing environment.
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