Full stack AI Engineer
Expired
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Virtusa
Sydney NSW
Full Time
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Posted 10 months ago
This role is expired
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View all AI roles →AI and Data Architect
Department of Education
Melbourne, VIC
hybrid$142,790 - $191,084 per yr
- Lead AI/data architecture, standards, assurance & emerging capability advice
- Proven experience in enterprise/solution/data/technology architecture
- AI governance, data platforms, stakeholder engagement, strategic advice
Posted 2d ago
Senior Data Scientist – Applied Machine Learning
Lendi Group
Sydney, NSW
hybrid- Applied ML models across propensity, personalisation, growth and retention
- Commercial experience in Data Science or ML Engineering roles
- Python, ML fundamentals, cloud platforms, model deployment, experimentation
Posted 2d ago
Data Scientist
Shell Energy
Melbourne, VIC
- Build and maintain data science products for energy business strategy
- Demonstrated experience in commercial ML and analytics solutions
- Python/R, ML, forecasting, DevOps, energy industry experience advantageous
Posted 3d ago
Staff Data Scientist
HelloFresh
Chippendale, NSW
hybrid- Lead data science team, deliver ML models and experimentation frameworks
- Experience leading data science teams with end-to-end project delivery
- Python, PySpark, Databricks, XGBoost, A/B testing, deep learning
Posted 7h ago
JD:
Technical Skills
- Frontend: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven)
- Backend: Python, Node.js, Java, .NET Core, C#
- Databases: SQL, NoSQL (Postgres, MongoDB)
- Data Technologies: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift)
- Architecture: Microservices, event-driven systems, distributed design
- Cloud: AWS (e.g. Certified Developer/Architect), Azure
- DevOps: GitHub Actions, Jenkins
- Containers: Docker, Kubernetes
- Security: Secure-by-design systems, threat modelling
- Testing: Unit, regression, contract testing, CI/CD automation
- Observability: Prometheus, Grafana, OpenTelemetry (if relevant)
AI & Emerging Technology
- Understand how AI and machine learning can enhance software engineering workflows and productivity
- Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs)
- Use AI-powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development
- Are curious about agentic systems and AI experimentation in real-world product environments
JD:
Technical Skills
- Frontend: React, TypeScript, Next.js, design systems (e.g. Figma-based, token-driven)
- Backend: Python, Node.js, Java, .NET Core, C#
- Databases: SQL, NoSQL (Postgres, MongoDB)
- Data Technologies: AWS-native tools (DynamoDB, Aurora, S3, Glue, Athena, Redshift)
- Architecture: Microservices, event-driven systems, distributed design
- Cloud: AWS (e.g. Certified Developer/Architect), Azure
- DevOps: GitHub Actions, Jenkins
- Containers: Docker, Kubernetes
- Security: Secure-by-design systems, threat modelling
- Testing: Unit, regression, contract testing, CI/CD automation
- Observability: Prometheus, Grafana, OpenTelemetry (if relevant)
AI & Emerging Technology
- Understand how AI and machine learning can enhance software engineering workflows and productivity
- Have experience or interest in building AI-assisted engineering tools or AI-integrated applications (e.g., using LangChain, LlamaIndex, or GenAI APIs)
- Use AI-powered coding assistants like GitHub Copilot, Cursor, Continue, or Aider in day-to-day development
- Are curious about agentic systems and AI experimentation in real-world product environments