AI Data Scientist

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 capabilitiesfor secure, mission-ready analytics. You will work on sovereign AI solutions that supportoperational decision-making in Defence and government contexts.

What you’ll do

• 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

What we’re looking for

• Strong background in statistics, machine learning 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)

What it feels like to work here

AI and data science at SolStak isn’t theoretical — your models support operationaldecision-making in accredited environments. You’ll work with clean, mission-relevantdatasets, partner closely with platform engineers on deployment, and see your work move fromnotebook to production. The culture rewards intellectual rigour and practical delivery in equalmeasure.

Why engineers join

• Build sovereign AI capabilities for Defence and government missions
• Work on real MLOps pipelines in secure, accredited environments
• Collaborate with cloud, data and cyber teams on end-to-end AI programmes
• Apply responsible AI practices with national security context
• Hybrid flexibility across VIC, NSW and ACT with a research-minded team

What technologies you’re exposed to

Data scientists at SolStak work across the full technology stack — from raw data platformsthrough to cloud deployment, virtualisation and security controls.

• Cloudera, Spark, Hive, feature stores and enterprise data pipelines
• BigQuery, cloud data warehouses and large-scale analytics platforms
• AWS SageMaker, Azure ML, Vertex AI and sovereign cloud AI services
• GPU compute, model serving and scalable inference infrastructure
• Kubernetes model deployment, OpenShift and containerised ML workloads
• Python, TensorFlow, PyTorch, MLflow and MLOps tooling

Security products

• Secure data handling, classification and privacy-preserving analytics
• Model governance, audit trails and integration with enterprise security tooling