Remote AI/ML Engineer in Perth

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.

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, Claude, Gemini
• Framework: LangChain, LangGraph, FastAPI
• ML: PyTorch, Hugging Face Transformers
• STT: Whisper, Google Cloud STT
• Vector DB: Pinecone, Weaviate
• MLOps: MLflow, Weights & Biases
• Infra: AWS SageMaker / GCP Vertex AI, Docker

Employment:

• Working hours: Full-time 40 hours a week.
• Location: Remote - South Korea based or open to global applicants
• Contract: Fixed Term Contract