EL1 Machine Learning and Artificial Intelligence Senior Lead (DGIG_SCU)

The Data Governance and Integration Group (DGIG) is responsible for delivering high-quality data governance and integration services that support national health and welfare reporting, research, and policy development. The Group also supports the Institute to employ advanced analytical techniques and tools, including machine learning and artificial intelligence.

The Specialist Capabilities Unit (SCU) is responsible for providing centralised support and developing the organisations skill in critical capabilities, including use of the analyst's toolkit, machine learning, artificial intelligence, geospatial, statistical, and methodological analysis.

The Specialist Capabilities Unit seeks a Machine Learning and Artificial Intelligence Senior Lead with a strong technical foundation in machine learning (ML), deep learning (DL), natural language processing (NLP), large language models (LLMs), and broad artificial intelligence (AI) technologies. This individual should demonstrate expertise across the full lifecycle of ML/AI initiatives, from solution design and model development through to deployment, monitoring, and evaluation. They should also possess strong hands-on Python programming skills, including experience with modern application development frameworks, required data processes as pipeline, and production-grade AI/ML solutions.

We are looking for a team-oriented professional who can work independently in evolving environments and collaborate effectively with domain experts on complex data sets, ensuring outcomes that serve both people and business goals. Strong communication skills are essential, as this role involves translating technical concepts into actionable insights for senior leadership, as well as fostering support for ML/AI initiatives across diverse audiences.

Under general direction you will:

• Lead the end-to-end ML/AI project lifecycle, including business engagement, solution design, model development, testing, deployment, monitoring, and performance evaluation, ensuring solutions are robust, scalable, reliable, safe, and fit for purpose.
• Lead the design, development, deployment, and continuous improvement of ML/AI including data automation solutions that deliver measurable business outcomes, leveraging techniques such as machine learning, deep learning, natural language processing, large foundational models, and emerging technologies.
• Collaborate with cross-functional teams and data domain experts to develop solutions using complex datasets.
• Conduct research on emerging ML/AI technologies and integrate best practices to support continuous innovation.
• Develop user guides, codebases, support materials, and maintain relevant documentations.
• Contribute to implement ML/AI roadmap, safe and responsible adoption plans to enhance capabilities across the institute.
• Provide specialist AI/ML advice and support to the Chief AI Officer (CAIO) and AI Accountable Official (AIAO), contributing to governance, assurance, safe and responsible adoption, and effective use of AI technologies across the Institute.

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