AI Engineer

Work Rights: Only candidates currently residing in Australia with Australian Citizenship, Permanent Residency, or unrestricted Australian work rights will be considered. Visa sponsorship is not available.

Location: Perth, WA, Australia

We are seeking an experienced AI Engineer to design, build, and deploy scalable AI and Machine Learning solutions. The ideal candidate will have strong expertise in Python, Deep Learning, LLMs, Cloud AI platforms, and MLOps.

Key Skills

Bachelor's/Master's degree in Computer Science, AI/ML, or a related discipline.

5+ years of experience in AI/ML Engineering or Applied Data Science.

Strong programming skills in Python.

Hands-on experience with TensorFlow, PyTorch, and Scikit-learn.

Expertise in Deep Learning architectures (CNNs, RNNs, Transformers).

Experience with Large Language Models (LLMs) and Prompt Engineering.

Experience deploying AI solutions using AWS SageMaker, Azure Machine Learning, or Google Vertex AI.

Hands-on experience with MLflow, Kubeflow, Docker, and Kubernetes.

Strong analytical, problem-solving, communication, and stakeholder management skills.

Key Responsibilities

Design, develop, and deploy enterprise AI/ML solutions.

Build, train, evaluate, and optimize machine learning and deep learning models.

Develop Generative AI and LLM-based applications.

Deploy and monitor AI models on cloud platforms.

Implement MLOps best practices for model deployment and lifecycle management.

Collaborate with cross-functional teams to translate business requirements into AI solutions.

Troubleshoot, optimize, and maintain production AI applications.

Stay current with emerging AI technologies and industry best practices.

Preferred Skills

Experience with enterprise AI transformation projects.

Exposure to Data Engineering and Big Data platforms.

Knowledge of CI/CD pipelines for AI/ML deployments.