About Us:
DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress.
We are building
EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our
Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary
Navigator methodology, we create structured and efficient pathways to success for education innovators.
Over the next decade, our ambition is to accelerate more than
5,000 EdTech startups globally
Everything we do is dedicated to championing EdTech startups to improve society and fulfil our mission.
EdTech Hub IT Team
The EdTech Hub IT Team powers the digital foundation of our ecosystem.
We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly.
From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology.
By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth while we take care of the technology that drives it.
We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role.
AI/ML Engineer
DOHE Global is using AI to reshape how startup consulting works. AI analyzes coaching sessions and generates reports, matches startups with the right experts, and in the long run, AI Agents will deeply analyze Problem-Solution Fit. This team turns all of that into reality.
This is not a prompt engineering role. You'll design and build end-to-end AI pipelines recording transcription summarization coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems.
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About Us
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EdTech Hub IT Team
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Requirements
In This Role, You'll
- Build the end-to-end pipeline: recording transcription summarization coaching report
- Auto-generate Pre-Diagnosis Reports from survey responses and startup data
- Design expert matching algorithms using startup profiles and diagnosis results
- Architect and implement Multi-Agent systems
- Fine-tune LLMs and train domain-specific models
- Design prompts, build evaluation frameworks, manage model versions, and run A/B tests
We're Looking For Someone With
- Intensive Hands-on ML/AI experience
- Building applications with LLMs
- Model fine-tuning experience mandatory
- Python-based AI/ML pipeline design and implementation
- Hands-on experience with agent frameworks
- NLP fundamentals and speech-to-text integration experience
- Business-level English fluency required daily collaboration with a global team
You Might Thrive In This Role If You
- True believer in AI. You're convinced AI can genuinely change how people work and you want to build it
- Pipeline thinker. You see the full flow: collection preprocessing model serving monitoring
- Experiment-driven. You thrive on rapid hypothesis experiment measure improve cycles
- Domain-deep. You want to understand startup incubation deeply and design AI tailored to it
Tech Stack
Language Python 3.11+
LLM GPT-5
Framework LangChain
ML PyTorch
- Hugging Face Transformers
STT Whisper
Vector DB Pinecone
MLOps MLflow
Infra AWS SageMaker / GCP Vertex AI
DOHE Global AI . AI , AI , AI Agent Problem-Solution Fit . .
. AI . LLM , Multi-Agent .
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- Pre-Diagnosis Report
- Expert
- Multi-Agent
- LLM ,
- , , , A/B
- ML/AI
- LLM
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- Python AI/ML
- Agent
- NLP
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Language Python 3.11+
LLM GPT-5
Framework LangChain
ML PyTorch
- Hugging Face Transformers
STT Whisper
Vector DB Pinecone
MLOps MLflow
Infra AWS SageMaker / GCP Vertex AI
Language Python 3.11+
LLM GPT-5
Framework LangChain
ML PyTorch
- Hugging Face Transformers
STT Whisper
Vector DB Pinecone
MLOps MLflow
Infra AWS SageMaker / GCP Vertex AI
Benefits
Employment:
- Working hours: Full-time 40 hours a week.
- Location: Remote - South Korea based or open to global applicants
- Contract: Fixed Term Contract
