Ingénieur AI
Montreal, QC, CA
CAD 73K-122K (estimate) Mid-level Full Time Found 10d ago
Tasks
- Apply governance principles (bias, privacy, transparency)
- Collaborate with data scientists to stabilize prototypes
- Containerize and deploy models in production
- Develop ETL data ingestion pipelines
- Implement MLOps pipelines CI/CD
- Manage version control of models and data
- Monitor models for drift and alerts
- Write optimized prompts and perform model benchmarking
Perks/Benefits
- Active social community
- Health and wellness benefits
- Learning opportunities
- Vacation and leave policies
Skills/Tech-stack
AI Foundry | API | AWS Bedrock | Agent systems | Autogen | Azure AI | Azure AI Foundry | Backend | Biais | Chainlit | Collaboration | Confidentiality | CrewAI | DVC | Data Science | DevOps | Explainability | GCP Vertex | GCP Vertex AI | GDPR | Google ADK | Huggingface | Huggingface models | Java | JavaScript | LFM | LLM | Langgraph | MLOps | MLflow | Microservices | Model Packaging | Monitoring | Multi-Agent | Multi-Agent Systems | N8n | Open Source | Open Source HuggingFace models | OpenAI | Pandas | Prompt engineering | Python | REST | React | Risk Management | Streamlit | Vertex AI
Education
Roles
Language: fr |
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