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.

Job Location

Canberra / Sydney / Brisbane / Melbourne

If you are interested in the above job opportunity, please apply through the links provided or please feel free to contact Newman for more details.

newman.ponniah@calleo.com.au
0404 331 242

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.

Follow Calleo on LinkedIn and visit our website to keep up to date on all our current job vacancies:
www.linkedin.com/company/calleoresourcing
www.calleo.com.au

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.

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.

Data Scientist

Data Scientist

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