Full stack AI Engineer
Expired
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Virtusa
Sydney NSW
Full Time
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Posted 9 months ago
This role is expired
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View all AI roles →Lead Data Scientist - wiqRetail
Quantium
Sydney, NSW | Melbourne, VIC
hybrid- Lead data science projects for Woolworths, manage team of 3-5 analysts
- Experience managing and developing technical teams of 3-5 people
- SQL, Python, cloud platforms (GCP/Azure/Databricks), Generative AI
Posted 3d ago
Systems Engineer - AI Safety and Tooling
IMC Trading
Sydney, NSW
- Build and operate AI infrastructure for production-critical engineering systems
- 3+ years experience in relevant role
- Python/Go, Kubernetes, Docker, Linux, security hardening, CI/CD
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Principal Data Scientist
Evolution Mining
Brisbane, QLD
hybrid- Lead data science and AI application to mining operational challenges
- Significant experience in data science and advanced analytics
- Python, R, SQL, machine learning, predictive analytics, AI
Posted 4d ago
Technical Specialist, Data Engineer
IAG
Sydney, NSW
hybrid- Build and maintain data pipelines and engineering solutions
- 3+ years data engineering experience
- SQL, Python, AWS, ETL, data modelling
Posted 2d 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