Sovereign AI Data Scientist — Secure MLOps

Sol Stak Pty; Australian Capital Territory; Hybrid; AUD 110,000 - 150,000; Full time

Job summary

SolStak is hiring an AI Data Scientist to develop and deploy machine learning capabilities for secure, mission-ready analytics. You will work on sovereign AI solutions that support operational decision-making in Defence and government contexts.

Join a team focused on real-world impact, building end-to-end ML systems, from data platforms to production inference in accredited environments, with hybrid flexibility across Australian states.

Qualifications

• Strong background in statistics, ML and Python data science stacks.
• Experience with feature engineering, model validation and production deployment.
• Curiosity, rigour and a passion for sovereign innovation.
• Minimum two years of proven experience in a relevant role.
• Own GitLab instance and home lab environment (highly desirable)
• Existing Australian Government security clearance (highly desirable)
• Industry certifications (highly desirable)

Responsibilities

• Design, train and evaluate ML models for classification, forecasting and NLP use cases
• Build reproducible data science pipelines and MLOps workflows
• Collaborate with platform engineers to deploy models in accredited environments
• Apply responsible AI practices including bias testing and model explainability
• Translate complex analytical outputs into actionable insights for stakeholders

Skills

Statistics

Machine learning

Python data science

Feature engineering

Model validation

Production deployment

Curiosity

Rigour

Sovereign innovation

Tools

GitLab

Job description

SolStak is hiring an AI Data Scientist to develop and deploy machine learning capabilities for secure, mission-ready analytics. You will work on sovereign AI solutions that support operational decision-making in Defence and government contexts.

Join a team focused on real-world impact, building end-to-end ML systems, from data platforms to production inference in accredited environments, with hybrid flexibility across Australian states.