Quick Overview
Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
Canberra, Australian Capital Territory, Australia
MLOpsMachine LearningNLPGenerative AILLM
Job Description
Job Overview
- Identify, extract, classify and relate skills information from structured and unstructured data sources.
- 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.
- 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.
- Apply rigorous model evaluation and validation methodologies, including benchmark development, performance measurement, error analysis and reproducibility practices.
- Design and enhance technical validation capabilities that support the transparent, repeatable and scalable assessment of model outputs, extracted skills and taxonomy recommendations.
- 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.
- Collaborate with Data Engineers to operationalise NLP and AI models through repeatable data processing, validation and model-serving pipelines.
- Apply software engineering and machine learning operations (MLOps) practices, including version control, testing, reproducibility, model lifecycle management and technical documentation.
Canberra / Sydney / Brisbane / Melbourne
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.
Calleo is an equal opportunity employer, and we encourage applications from all people including Aboriginal and Torres Strait Islander people.
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