AI/NLP Data Scientist for Skills Extraction & GenAI

Calleo Australia; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

Calleo Australia is seeking a Data Scientist to leverage advanced AI, NLP and ML techniques to identify, extract and relate skills information from diverse data sources. You will work with a multidisciplinary team to design scalable analytics pipelines and repeatable processes for ongoing improvement.

Collaborating with taxonomy and policy experts, you will implement validation, model evaluation, and MLOps practices, shaping data-driven solutions across multi-city data environments.

Responsibilities

• Identify, extract, classify and relate skills information from structured and unstructured data sources.
• Develop, adapt and evaluate NLP, transformer-based and LLM approaches for skills extraction and text classification.
• Apply expertise in AI and GenAI frameworks to develop, test and optimise bespoke model solutions in GPU-enabled environments.
• Apply rigorous model evaluation and validation methodologies, including benchmark development, performance measurement and reproducibility.
• Design and enhance technical validation capabilities for transparent, repeatable model assessment.
• Collaborate with taxonomy, policy and subject matter experts to incorporate definitions, terminology, classification rules and validation requirements into 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 MLOps practices, including version control, testing, reproducibility, model lifecycle management and technical documentation.

Job description

Calleo Australia is seeking a Data Scientist to leverage advanced AI, NLP and ML techniques to identify, extract and relate skills information from diverse data sources. You will work with a multidisciplinary team to design scalable analytics pipelines and repeatable processes for ongoing improvement.

Collaborating with taxonomy and policy experts, you will implement validation, model evaluation, and MLOps practices, shaping data-driven solutions across multi-city data environments.