We're seeking a highly skilled Senior Python Developer to join a major Federal Government research and innovation program delivering advanced AI and machine learning applications.

You'll lead the design, development, and optimisation of machine learning models - transforming complex research into production-ready systems that deliver meaningful real-world impact. Working closely with data scientists, engineers, and researchers, you'll help shape the future of AI-enabled solutions in Australia.

Join a forward-thinking Federal Government initiative focused on applied AI, machine learning, and data science. You'll be part of a collaborative Agile team developing high-performance models and applications using cutting-edge tools like PyTorch, TensorFlow, Hugging Face, and Ultralytics.

This role is ideal for someone who thrives in a technical leadership capacity - balancing innovation, delivery, and mentorship while ensuring quality and scalability in every solution.

• Design, develop, and optimise machine learning models and data-driven applications.

• Translate research into production by implementing algorithms from academic papers.

• Build and fine-tune AI models using PyTorch, TensorFlow, Hugging Face, or Ultralytics.

• Conduct data preprocessing, annotation, and augmentation for model development.

• Integrate AI solutions into existing enterprise workflows via REST APIs and CI/CD pipelines.

• Manage Agile project tasks using Jira, GitLab, or GitHub Projects.

• Evaluate and benchmark model performance using metrics and industry tools.

• Collaborate with research and engineering teams to deliver scalable AI systems.

• 5+ years' experience in software development with Python.

• Strong background in AI/ML model development and deployment.

• Proven experience with MLOps, version control, and CI/CD frameworks.

• Understanding of AI model architectures such as Transformers, CNNs, and LLMs.

• Strong communication skills and ability to translate technical outcomes to stakeholders.

• Deep Learning: PyTorch, TensorFlow

• ML Libraries: NumPy, Hugging Face, Ultralytics (YOLO/DETR)

• MLOps Tools: Weights & Biases (W&B), MLflow

• API Development: FastAPI, Flask, Django

• Containerisation: Docker, Kubernetes

• Workflow Orchestration: Airflow, Prefect, NiFi

• Agile/Scrum delivery experience

• Eligibility: Australian citizenship but Negative Vetting Level 1 is required

• Location: Melbourne location - onsite

• Engagement: 12 month contract starting in the new year

• Remuneration: Competitive hourly rate based on experience

• Work on nationally significant AI and ML initiatives

• Collaborate with top-tier engineers, researchers, and data scientists

• Be part of an organisation shaping the future of intelligent technology