AI Engineer | ML, GenAI, LLM, Python, Azure | Sydney
Tasks
- Apply best practices for AI lifecycle management
- Build and refine AI models
- Deploy models with monitoring and optimization
- Design scalable machine learning solutions
- Develop and deploy generative AI solutions
- Ensure code quality testing and governance
- Implement LLM-based solutions
- Support model reliability security and scalability
Perks/Benefits
- Flexible work arrangements
- Flexible working options
- Market-leading parental leave
- Paid volunteering days
- Retail discounts
- Return to work support package
- Wellbeing leave
Skills/Tech-stack
AI Safety | AWS | Anomaly Detection | Azure | Clustering | DevOps | Embeddings | Fine Tuning | GCP | Generative AI | Knowledge graphs | Language Models | Large Language Models | MLOps | Machine Learning | NumPy | Pandas | Privacy-Preserving Techniques | Privacy-preserving | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Semantic Search | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
Cities
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