Senior Applied AI Engineer – GenAI Systems
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
R
CAD 129K-179K Senior-level Full Time
Tasks
- Build retrieval based and summarization workflows
- Create agentic workflows with traceability and controls
- Define evaluation and testing plans
- Design end to end actuarial AI solutions
- Develop machine learning and GenAI models
- Document model limitations and governance evidence
- Engineer features from structured and unstructured data
- Implement monitoring for data quality drift and performance
- Mentor junior scientists through design and code reviews
- Perform backtesting and out of time testing
- Productionize ML pipelines with CI CD deployment and monitoring
- Support model risk review and UAT
- Translate business problems into AI use cases
Perks/Benefits
- Hybrid work environment
- Inclusion and Diversity support
- Learning and development opportunities
- Well-being support
Skills/Tech-stack
Access Control | Backtesting | CI/CD | Data Lineage | Data Quality | Data quality monitoring | Databricks | Deep learning | Drift Detection | Embeddings | Error Analysis | Feature Engineering | Human review | Integration Testing | Logging | Machine Learning | Model Drift | Model Drift Detection | Model Governance | Model Risk Management | Model risk | Out of Time Testing | Performance Monitoring | Privacy and Security | PyTorch | Python | Quality monitoring | Retrieval-Augmented Generation | Risk Management | SQL | Scikit-learn | Spark | TensorFlow | Unit Testing | Unit and integration testing | Vector Search
Education
N/A
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