About the job
About Us:
DOHE is a leading global EdTech organization headquartered in Singapore, with a branch in the United Kingdom. Our mission is to revolutionize education through the responsible use of technology, enhancing educational quality and promoting meaningful societal advancement.
We are developing the EdTech Hub, a worldwide ecosystem aimed at empowering startups, fostering collaboration, and stimulating innovation within the education sector. Through our Go-Together Accelerator Programme, we assist EdTech founders in realizing their visions by providing tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we establish structured and effective pathways to success for education innovators.
In the next decade, we aspire to accelerate over 5,000 EdTech startups globally.
The EdTech Hub IT Team
The IT Team at EdTech Hub underpins the digital infrastructure of our ecosystem.
We design, build, and maintain robust, scalable, and secure technology frameworks that enable seamless collaboration among startups, partners, and stakeholders. From platform development and data management to cybersecurity and system optimization, our team ensures that innovation is backed by strong, forward-thinking technology.
By blending technical expertise with a comprehensive understanding of the EdTech landscape, we create an environment conducive to startup growth, allowing them to focus on their expansion while we manage the technology that fuels it.
We are in the process of establishing a high-impact core team of 9 professionals across engineering, product, and design disciplines. Detailed Job Descriptions are available for each role.
AI/ML Engineer Role
At DOHE Group, we are leveraging AI to redefine startup consulting. Our AI systems analyze coaching sessions, generate insightful reports, and match startups with suitable experts. In the long term, we aim to develop AI agents that will deeply analyze Problem-Solution Fit. This team will bring these innovations to fruition.
This is not a prompt engineering position. You will design and construct end-to-end AI pipelines, encompassing recording, transcription, summarization, and coaching reports. Additionally, you will fine-tune LLMs for domain-specific models and architect Multi-Agent systems.
