At a Glance
- Tasks: Develop and deploy machine learning models for Defence and government analytics.
- Company: Join SolStak, a leader in sovereign AI solutions.
- Benefits: Hybrid work flexibility, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on innovation and responsible AI practices.
- Why this job: Make a real impact with your AI skills in mission-critical environments.
- Qualifications: Strong background in statistics, machine learning, and Python; 2+ years experience required.
The predicted salary is between 61650 - 75350 $ per year.
Sol Stak 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 Git Lab 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 Sol Stak 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 Sol Stak 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
- Big Query, cloud data warehouses and large-scale analytics platforms
- AWS Sage Maker, Azure ML, Vertex AI and sovereign cloud AI services
- GPU compute, model serving and scalable inference infrastructure
- Kubernetes model deployment, Open Shift and containerised ML workloads
- Python, Tensor Flow, Py Torch, MLflow and MLOps tooling
- Security products
- Secure data handling, classification and privacy-preserving analytics
- Model governance, audit trails and integration with enterprise security tooling
AI Data Scientist in Canberra employer: Sol Stak Pty
At SolStak, we pride ourselves on being an exceptional employer, offering AI Data Scientists the chance to work on impactful sovereign AI solutions that directly support Defence and government operations. Our collaborative culture fosters intellectual rigour and practical delivery, while providing hybrid flexibility across VIC, NSW, and ACT, ensuring a balanced work-life environment. With opportunities for professional growth and exposure to cutting-edge technologies, you'll be part of a mission-driven team dedicated to responsible AI practices in secure settings.
