AI Architect (T & I) (Telework/Hybrid)
Montreal - MRC (Papineau) (36.25), Canada
R
CAD 111K-140K (estimate) Senior-level Full Time
Tasks
- Design GPU cluster capacity for large workloads
- Design training and inference systems for large language models and multimodal models
- Develop MLOps and LLMOps pipelines with observability
- Drive performance profiling and automated testing for ML systems
- Ensure data security for video understanding systems
- Evaluate and standardize integration protocols for model interoperability
- Integrate AI solutions into media production environments
- Mentor engineers and data scientists in ML system design
- Optimize distributed training using parallelism strategies
- Optimize end to end training pipelines
- Optimize inference serving engines for low latency
- Produce technical documentation and architecture artifacts
Perks/Benefits
Skills/Tech-stack
A2A | AI Agents | AWS | Accelerate | Azure | CI/CD | Containers | DeepSpeed | Distributed Training | Docker | GCP | KV caching | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | Language Models | Large Language Models | Litellm | Long Context | MLOps | MLflow | Mixed Precision | Model Context Protocol | ModelOps | Multimodal Models | Networking | Observability | Open WebUI | Performance Profiling | PyTorch | Quantization | RAG | SMPTE 2110 | Storage | VLLM | Virtualization | Weights and Biases
Education
Roles
AI | AI Architect | Architect
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