Intern/Student Assistant
Rockwool is hiring an Intern/Student Assistant. Level rates it ; you can apply on Rockwool.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions LangChain among its tools and skills.
- Level classes it as an internship.
- Rockwool has 268 other open roles on Level.
- Posted within the past two weeks.
AI in this role
We are looking for a student assistant to join our AI CoE in ROCKWOOL in Subang (Malaysia). We expect the intern/student assistant to help us in building various AI products.
Ready to help build a better future for generations to come?
In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions.
Join us and make a difference!
Your future team:
The AI CoE has recently started a journey towards using more digitalization and automation and better use of data. From manufacturing & operations to commercial business such as finance and marketing, we employ AI in various parts of our global organization. As we build and deploy AI products to our 12000+ colleagues around the world, it is important that the products are useable and are easily fitting into current workflows – this is where your abilities come into play.
What you will be doing:
You will be actively involved in developing, integrating, testing, and continuously improving AI products across the ROCKWOOL value chain. This role is ideal for someone passionate about AI and software development, offering hands-on experience in building and maintaining applications that leverage Generative AI technologies, APIs, and modern web development practices.
What you bring:
- Currently enrolled in a Bachelor’s or Master’s program in a relevant field such as Computer Science, Data Science, Statistics, Mathematics, etc. with at least 1 year left in your program.
- Basic understanding of Generative AI concepts, including Large Language Models (LLMs), vector databases, APIs, and frameworks such as LangChain, MCP, or similar technologies.
- Good understanding with the Software Development Life Cycle (SDLC), software testing methodologies, and testing tools (e.g., Playwright) is an advantage.
- Experience with web and software development technologies such as React, HTML, CSS, JavaScript, or related frameworks.
- Familiarity with cloud platforms such as Azure or Google Cloud Platform (GCP) is considered an advantage.
- Strong problem-solving skills and the ability to learn new technologies quickly.
- Good communication skills in English, as we are an international team and English is our primary working language.
We know that you might not meet all the things on this list, but you might bring skills and experience that we haven’t even included here. Please apply even if you do not meet some of the skills and experiences listed above but feel that you bring something unique.
What we offer:
- We will give you a platform to gain real life hands-on experience, receive mentorship from experienced professionals, and have the chance to make a meaningful impact on our projects.
- You will get a fantastic learning opportunity where you can work on cutting-edge AI products and collaborate with a dynamic and innovative team. It also serves as a chance to add real-life projects to your portfolio, while still being a student.
- Our work environment is fun, inclusive, and supportive, encouraging creativity and professional growth.
- Join us to enhance your skills, expand your network, and be part of an exciting journey in the AI & Data Science space.
How we rate this
Intern/Student Assistant at Rockwool rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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