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

- Robust 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

#J-18808-Ljbffr

📌 AI Data Scientist (Australian Capital Territory)
🏢 Sol Stak Pty
📍 Australian Capital Territory