Senior Quant AI Analytics
Sydney, NSW, Australia
AUD 127K-150K (estimate) Senior-level Full Time
Tasks
- Define evaluation strategy for generative ai including metrics coverage and drift testing
- Define release engineering and observability for model operations
- Deliver reliable scalable governed production analytics
- Design build validate release monitor and retire models
- Develop Retrieval-Augmented Generation architectures
- Establish prompt and context release discipline including versioning rollbacks and safe defaults
- Implement production controls for machine learning including versioning reproducibility audit trails and change management
- Lead end to end operationalisation of machine learning analytics
- Own evaluation frameworks for coverage failure modes calibration drift and regression
- Partner with traders and risk to produce decision relevant analytics
- Provide incident response and model service level objectives
Perks/Benefits
- Employee discounts
- Flexible work arrangements
- Learning and development opportunities
- Leave options
- Supportive inclusive workplace
- Volunteering opportunities
Skills/Tech-stack
A/B | A/B Testing | Airflow | Anomaly Detection | Anomaly monitoring | Autogen | Azure | B testing | Container Services | Drift Detection | Forecasting | Generative AI | Incident Response | Kafka | Langchain | Lifecycle Management | Llamaindex | MLOps | Machine Learning | Microservices | Model Evaluation | Model Lifecycle | Model Lifecycle Management | Model Monitoring | MongoDB | Observability | Optimization | Prompt engineering | Python | RAG | REST API | React | Release Management | Retrieval-Augmented Generation | Risk Modeling | Snowflake | Snowpark Container Services
Education
N/A
Regions
Countries
States
Cities
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