AI Engineer
Toronto, ON, CA, M5H 1H1
CAD 82K-151K (estimate) Senior-level Full Time
Tasks
- Build AI services and pipelines
- Build automated ML LLM delivery pipelines
- Define evaluation and monitoring for GenAI
- Define reference architectures and golden paths
- Deploy models as scalable services
- Design AI solutions
- Ensure secure scalable auditable production readiness
- Implement AI governance in workflows
- Implement RAG and embeddings
- Implement semantic search and agent workflows
- Manage model versioning and reproducibility
- Mentor engineers and raise technical bar
- Monitor and alert for AI services
- Operationalize AI systems
- Resolve production incidents for AI systems
Perks/Benefits
- Community engagement opportunities
- Cross-functional development opportunities
- Employee accessibility accommodations
- Employee resource groups
- Flexible vacation
- Free tea and coffee
- Personal days
- Sick days
- Team collaboration space
- Upskilling and tuition assistance
Skills/Tech-stack
API Development | Access Controls | Alerting | Auditability | Azure | Batch Processing | Cloud infrastructure | Data Governance | Deep learning | Embeddings | Google Cloud | Incident Management | LLMOps | Language Processing | Logging | MLOps | Machine Learning | Model Risk Management | Model risk | Model versioning | Monitoring | Natural Language | Natural Language Processing | Observability | Privacy and Consent | Python | Real Time | Real-time Processing | Reproducibility | Retrieval-Augmented Generation | Risk Management | SQL | Security controls | Semantic Search | Time processing | Vector Databases
Education
N/A
Roles
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