Machine Learning Engineer – AI Team
Brisbane CBD | Hybrid (2–3 days in office)
Salary: $100K–$170K + Super
  
Certus Recruitment Group is partnering with an innovative organisation in Brisbane to hire a Machine Learning Engineer to join their growing AI team.
  
You’ll work across NLP, computer vision, generative AI, and applied ML—building real-world solutions that sit at the intersection of data, design, and user experience.
  
If you enjoy shaping ideas from prototype to production and collaborating with cross-functional teams, this role offers genuine impact and technical breadth.
  
Responsibilities  

• Develop and fine-tune ML models across NLP, computer vision, and generative AI.
• Adapt and apply foundation models (OpenAI, Anthropic, Cohere) for targeted use cases.
• Build and maintain data pipelines, experiment tracking, and model deployment workflows.
• Integrate ML capabilities into applications via REST APIs, collaborating closely with software developers.
• Work within major cloud platforms (AWS, Azure, GCP) and ML toolchains (PyTorch, TensorFlow, Hugging Face, MLflow, LangChain).
• Operate in an agile, cross-functional team and contribute to broader AI/ML innovation initiatives.

Requirements
  
Core Technical Skills

• 3+ years of ML engineering or applied machine learning experience.
• Strong Python capability with ML frameworks (scikit-learn, PyTorch, TensorFlow).
• Experience integrating ML models into production applications and workflows.
• Knowledge of vector search and embedding technologies (FAISS, Pinecone, Weaviate).
• Experience deploying APIs using FastAPI or Flask.
• Comfortable working with structured and unstructured data (text, images, spatial).
• Hands-on experience with AWS, Azure, or GCP.

Development & Collaboration

• Ability to build ML pipelines from prototype through to production.
• Experience with MLflow, Git, Weights & Biases or similar tools for experiment tracking and versioning.
• Strong communication skills with both technical and non-technical audiences.
• Collaborative and proactive approach to problem-solving.

Mindset & Domain Interest

• Research-minded and motivated to apply AI in meaningful, real-world contexts.
• Interest in the built environment, design technology, or complex civic systems is valued.
• Background in architecture, engineering, or design technology is a bonus but not essential.

Preferred (Not Required)

• Experience with LLM orchestration (LangChain, Haystack), RAG, prompt tuning or hybrid search.
• MLOps workflows (Airflow, Argo), model governance, and ML lifecycle optimisation.
• Understanding of AI ethics, data privacy, and explainability.
• Experience building internal AI tools/interfaces for non-technical teams.

Benefits  

• Hybrid working model with flexibility (typically 2–3 days in office).
• Modern Brisbane CBD office with an engaging, collaborative team environment.
• Opportunity to work on cutting-edge AI initiatives across NLP, vision, and generative systems.
• Strong mentorship, cross-disciplinary collaboration, and exposure to diverse design and engineering challenges.
• Career development within a team investing heavily in advanced ML capabilities.

Apply now or reach out for a confidential discussion.