At a Glance
- Tasks: Design and build end-to-end AI pipelines for innovative EdTech solutions.
- Company: Join DOHE, a global leader in EdTech transforming education through technology.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote team with a focus on innovation and collaboration.
- Why this job: Be part of a mission to empower startups and revolutionise education with AI.
- Qualifications: Hands-on experience in ML/AI, Python, and model fine-tuning required.
The predicted salary is between 36000 - 60000 ยฃ per year.
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.
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.
In This Role, Youโll:
- 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
Weโre 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 โ daily collaboration with a global team
You Might Thrive In This Role If You:
- True believer in AI. Youโre convinced AI can genuinely change how people work โ 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 ยท Claude ยท Gemini
- Framework: LangChain ยท LangGraph ยท FastAPI
- ML: PyTorch ยท Hugging Face Transformers
- STT: Whisper ยท Google Cloud STT
- Vector DB: Pinecone ยท Weaviate
- MLOps: MLflow ยท Weights & Biases
- Infra: AWS SageMaker / GCP Vertex AI ยท Docker
Employment:
- Working hours: Full-time 40 hours a week.
- Location: Remote - South Korea based or open to global applicants
- Contract: Fixed Term Contract
AI/ML Engineer employer: DOHE Europe LTD
DOHE is an exceptional employer, offering a dynamic remote work environment that empowers Senior Backend Developers to lead innovative projects in the EdTech sector. With a strong focus on employee growth, collaborative culture, and a mission-driven approach, team members are encouraged to contribute to meaningful societal progress while enjoying flexible working arrangements and access to cutting-edge technology. Join us in shaping the future of education and be part of a global community dedicated to supporting over 5,000 EdTech startups.
StudySmarter Expert Advice๐คซ
We think this is how you could land AI/ML Engineer
โจTip Number 1
Network like a pro! Reach out to people in the EdTech space, especially those who are already working at DOHE. A friendly chat can open doors and give you insights that might just help you land that AI/ML Engineer role.
โจTip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to AI/ML, make sure to highlight them during interviews. We love seeing practical applications of your knowledge!
โจTip Number 3
Prepare for technical challenges! Brush up on your Python and ML concepts, as you might face some coding tests. Practising common algorithms and data structures can really give you an edge.
โจTip Number 4
Apply through our website! Itโs the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our mission to transform education with technology.
We think you need these skills to ace AI/ML Engineer
Some tips for your application ๐ซก
Show Your Passion for AI:Let us see your enthusiasm for AI and how it can transform the way we work. Share any personal projects or experiences that highlight your belief in AI's potential.
Tailor Your Application:Make sure to customise your CV and cover letter to reflect the specific skills and experiences mentioned in the job description. We want to see how you fit into our mission at DOHE!
Highlight Relevant Experience:Focus on your hands-on experience with ML/AI, especially in building applications with LLMs. Weโre keen to know about your pipeline design and model fine-tuning expertise.
Apply Through Our Website:For a smooth application process, make sure to apply directly through our website. It helps us keep track of your application and ensures you donโt miss out on any updates!
How to prepare for a job interview at DOHE Europe LTD
โจKnow Your Tech Stack
Familiarise yourself with the specific technologies mentioned in the job description, like Python, LLMs, and frameworks such as LangChain and FastAPI. Be ready to discuss your hands-on experience with these tools and how you've applied them in past projects.
โจShowcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in AI/ML. Discuss your approach to building end-to-end pipelines and any challenges you faced while fine-tuning models or implementing Multi-Agent systems. This will demonstrate your critical thinking and technical prowess.
โจUnderstand the EdTech Landscape
Research DOHE and its mission to transform education through technology. Be prepared to discuss how your skills can contribute to their goals, especially in supporting startups. Showing that you understand the broader context of your role will set you apart from other candidates.
โจBe Ready for Technical Questions
Expect in-depth technical questions related to AI/ML concepts, model fine-tuning, and NLP fundamentals. Brush up on your knowledge and be prepared to explain your thought process clearly. Practising coding challenges or system design questions can also help you feel more confident.
