The AI Engineer designs, develops and deploys AI and machine learning solutions, from data preparation and model development through to production integration, monitoring and responsible AI practices.

What you'll do

- Design, develop and deploy artificial intelligence and machine learning solutions to meet business requirements.

- Collect, clean and prepare data for model training, evaluation and testing.

- Build and optimise models for applications such as natural language processing, prediction and image analysis.

- Develop generative AI solutions, including AI assistants, document processing and intelligent search.

- Integrate AI models and services into applications through APIs.

- Evaluate model accuracy, reliability, fairness, response time and operating costs.

- Implement automated pipelines for model training, deployment, monitoring and maintenance.

- Monitor production models for performance issues and data drift, and implement improvements.

- Apply data privacy, security and responsible AI practices throughout development.

- Collaborate with software engineers, data scientists and business stakeholders to deliver practical solutions.

- Maintain technical documentation, evaluation results and deployment procedures.

What we're looking for

- Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering or a related discipline,



or equivalent practical experience.

- Solid programming skills in Python and experience with SQL.

- Practical knowledge of machine learning, deep learning, statistics and model evaluation.

- Experience with frameworks such as PyTorch, TensorFlow or scikit-learn.

- Ability to prepare datasets, engineer features and select appropriate modelling approaches.

- Experience deploying models and integrating them into software applications.

- Understanding of APIs, Git, software testing and development practices.

- Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud.

- Strong analytical, problem-solving, communication and documentation skills.

- Desirable: experience with large language models, prompt design, embeddings and retrieval-augmented generation (RAG).

- Desirable: familiarity with vector databases and AI application frameworks.

- Desirable: experience with model fine-tuning and systematic evaluation of generative AI outputs.

- Desirable: knowledge of MLOps, experiment tracking, model versioning and CI/CD pipelines.

- Desirable: experience with Docker and Kubernetes.

- Desirable: understanding of AI risks, including bias, hallucinations, prompt injection and data leakage.

- Desirable: relevant postgraduate qualifications, certifications or a portfolio of deployed AI projects.

📌 AI ENGINEER (Melbourne)
🏢 TaltentTrek
📍 Melbourne