Senior Applied AI Engineer – GenAI & Actuarial Systems
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 129K-179K Senior-level Full Time
Tasks
- Build forecasting and scenario models
- Conduct error analysis and stability testing
- Contribute to CI/CD pipelines
- Create segmentation and anomaly detection models
- Define evaluation plans and performance metrics
- Design agentic workflows with retrieval and tools
- Design end to end actuarial AI solutions
- Develop optimization approaches
- Develop predictive risk and behavior models
- Develop retrieval based GenAI solutions
- Engineer features from structured and unstructured data
- Ensure privacy and security through access controls
- Implement alerting and remediation actions
- Implement structured summarization and extraction
- Mentor junior scientists through code reviews and design reviews
- Monitor data drift and performance deterioration
- Perform backtesting and out of time testing
- Provide monitoring and operational support with runbooks
- Run sensitivity analysis
- Set up model documentation for model risk review
- Translate actuarial problems into AI use cases
Perks/Benefits
- Dental insurance
- Disability insurance
- Employee assistance program
- Health insurance
- Life insurance
- Mental health support
- Paid time off
- Retirement savings plan
- Vision insurance
- Wellness benefits
Skills/Tech-stack
Agentic Workflows | Anomaly Detection | Backtesting | CI/CD | Data Drift | Data Drift Detection | Databricks | Drift Detection | Embeddings | Error Analysis | Feature Engineering | Forecasting | Git | Integration Testing | Logging | Machine Learning | Monitoring | Optimization | Out of Time Testing | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | Segmentation | Semantic Retrieval | Sensitivity Analysis | Spark | Stability Testing | Structured outputs | TensorFlow | Tool use | Unit Testing | Vector Search
Education
N/A
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