Applied AI Engineer – GenAI Systems
CAN, Ontario, Toronto, 200 Bloor Street East, Canada
CAD 94K-144K Senior-level Full Time
Tasks
- Build retrieval based generation solutions
- Create runbooks and support adoption and UAT
- Define evaluation plan and backtesting
- Design genai evaluation with scenario coverage and regression testing
- Develop machine learning solutions
- Document model limitations and build guardrails
- Engineer features from structured and unstructured data
- Ensure privacy and security controls
- Implement monitoring for data quality drift and performance
- Implement structured summarization and extraction
- Mentor junior scientists through design and code reviews
- Own end to end solution design GenAI and ML
- Produce model risk review documentation and evidence
- Productionize data pipelines and model packaging
- Standardize how we build with templates and checklists
- Translate business problems into solution approach
Perks/Benefits
- Dental insurance
- Flexible work environment
- Health insurance
- Hybrid work
- Inclusion support
- Mental health support
- Vision insurance
Skills/Tech-stack
API | Access Controls | Agentic Workflows | Anomaly Detection | Backtesting | CI/CD | Classification | Data Drift | Data Lineage | Data minimization | Databricks | Deployment | Embeddings | Error Analysis | Feature Engineering | Function Calling | Git | Human review | Integration Testing | Language Processing | Logging | Machine Learning | Microservices | Model Monitoring | Model Registry | Natural Language | Natural Language Processing | Optimization | Out of Time Testing | Prompt orchestration) | PyTorch | Python | Regression testing | Retrieval-Augmented Generation | SQL | Scenario Analysis | Scikit-learn | Security | Semantic Search | Spark | Structured outputs | TensorFlow | Tool use | Unit Testing | Vector Databases
Education
N/A
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