Certus Recruitment Group
Machine Learning Engineer
Certus Recruitment GroupAustralia12 days ago
Full-timeRemote FriendlyInformation Technology

🚨 HIRING NOW: Machine Learning Engineer – AI Team

💰 Salary: $100K–$170K + super

📍 Location: Brisbane CBD | Hybrid (1 day WFH; preferred office days Mon & Fri; flexible 2–3 days in office)


What You’ll Do


  • Develop & fine-tune ML models (NLP, computer vision, generative AI)
  • Adapt foundation models (OpenAI, Anthropic, Cohere) for targeted use cases
  • Build data pipelines & manage model experiments, tracking, and deployment
  • Integrate ML into applications via REST APIs & collaborate with developers
  • Operate in cloud platforms (AWS, Azure, GCP) and use ML tooling (PyTorch, TensorFlow, Hugging Face, MLflow, LangChain)
  • Work in agile, cross-functional teams & contribute to AI/ML innovation


What We’re Looking For


You’re a creative problem solver who thrives on applying AI to real-world challenges. Curious, hands-on, and passionate about building tools that bridge data, design, and human experience.


Core Technical Skills


  • 3+ years ML engineering or applied ML experience
  • Strong Python & ML libraries (scikit-learn, PyTorch, TensorFlow)
  • Integrating ML models into applications & workflows
  • Vector search & embedding systems (FAISS, Pinecone, Weaviate)
  • REST API deployment (FastAPI, Flask)
  • Handling structured & unstructured data (text, images, spatial)
  • Cloud platforms (AWS, Azure, GCP)


Development & Collaboration


  • Build & maintain ML pipelines from prototype to production
  • Experiment tracking & version control (MLflow, Git, Weights & Biases)
  • Strong communication for technical & non-technical audiences
  • Collaborative, proactive, interdisciplinary team player


Mindset & Domain Interest


  • Research-oriented & motivated to apply AI in impactful ways
  • Interest in the built environment, urban design, or civic infrastructure
  • Background in architecture, engineering, or design technology is a plus


Preferred (Not Required)


  • LLM orchestration (LangChain, Haystack), RAG, prompt tuning, hybrid search
  • MLOps workflows (Airflow, Argo), model governance
  • AI ethics, data privacy, explainability
  • Building internal AI tooling/interfaces for non-technical users


Apply now or reach out for a confidential chat.

Only candidates currently based in Australia with full working rights will be considered.


Please email me your CV to [email protected] then give Charmaine Thum a call on 0439 320 538

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