Job Description

Job Overview

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- Identify, extract, classify and relate skills information from structured and unstructured data sources.
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- Develop, adapt and evaluate natural language processing (NLP), transformer-based and Large Language Model (LLM) approaches for skills extraction, text classification, semantic similarity, clustering and entity resolution.
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- Apply expertise in contemporary artificial intelligence (AI) and generative AI (GenAI) frameworks to develop, test and optimise bespoke model solutions, including within GPU-enabled computing environments.
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- Apply rigorous model evaluation and validation methodologies, including benchmark development, performance measurement, error analysis and reproducibility practices.
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- Design and enhance technical validation capabilities that support the transparent, repeatable and scalable assessment of model outputs, extracted skills and taxonomy recommendations.
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- Collaborate with taxonomy, policy and subject matter experts to incorporate skills definitions,



terminology, classification rules and validation requirements into analytical workflows and AI-enabled solutions.
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- Collaborate with Data Engineers to operationalise NLP and AI models through repeatable data processing, validation and model-serving pipelines.
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- Apply software engineering and machine learning operations (MLOps) practices, including version control, testing, reproducibility, model lifecycle management and technical documentation.
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Job Location

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Canberra / Sydney / Brisbane / Melbourne

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Due to the nature of this role, this job is open to Australian Citizens only. Candidates who currently hold or able to obtain Federal Government Security Clearances are highly desirable.

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Calleo is an equal chance employer, and we encourage applications from all people including Aboriginal and Torres Strait Islander people.

📌 Data Scientist (Canberra)
🏢 Calleo Australia
📍 Canberra