Key Responsibilities
- Build, train, and fine-tune ML/AI models for speech to text, NLP, and multimodal tasks
- Design and maintain infrastructure to support in house model development & deployment
- Use LangChain, vector databases, and Ollama to power AI-driven workflows
- Develop pipelines for data collection, preprocessing, labelling, and feature engineering
- Implement self-hosted solutions for model serving, orchestration, and scaling
- Optimise models for latency, efficiency, and cost in production environments
- Collaborate with DevSecOps to ensure AI systems are secure, reliable, and scalable
- Stay up to date with open-source AI frameworks and bring new ideas into production
- Practical hands on AI/ML engineering experience
- Strong background with ML/DL frameworks (PyTorch, TensorFlow, JAX)
- Experience with LangChain, vector databases (Pinecone, Weaviate, Milvus), Ollama
- Python expertise; bonus if you know C++/Rust/Go
- Data pipelines: ETL, feature stores, data cleaning & preprocessing
- Knowledge of speech/NLP processing and LLM fine tuning techniques.
- Familiarity with Docker/Kubernetes and hybrid (cloud/on prem) deployments
- Understanding of security, privacy, and compliance in AI systems
- Curious and experimental, and eager to try new frameworks and approaches
- Thrives in a small, high impact team where everyone's contribution matters
- Positive, collaborative, and happy to share learnings with colleagues
- Detail-oriented, but pragmatic
- Excited about building real AI systems, not just gluing together APIs.
- Full time permanent role in sunny Perth, Australia
- Work in a small, dynamic team where your ideas shape their industries AI future
- Ownership of projects from end to end
- Regular opportunities to experiment with cutting-edge open-source tools
- A collaborative, growth driven environment with plenty of room to learn
- Team events, a supportive culture, and the freedom to do your best work