Ingénieur(e) IA Générative - Hébergement De Modèles LLM
CAD 101K-133K (estimate) Senior-level Full Time
Tasks
- Apply SRE and SecOps practices for reliability and security
- Build and maintain model serving services and APIs
- Create developer experience tooling with CLI SDK and templates
- Design deploy and operate GPU cluster infrastructure
- Develop agent platform runtimes and multi step workflow orchestration
- Implement secure auditable model marketplace hosting with tenant isolation
- Integrate platform with MLOps pipelines and model governance
- Lead platform architecture and implementation with Ray and NVIDIA integrations
- Optimize batching and latency for inference workloads
- Provide technical mentorship and lead design reviews
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | CI/CD | CUDA | CUDA toolkit | Docker | EFK | ELK | Go | Grafana | Helm | KServe | Kubernetes | MLOps | Mixed Precision | MongoDB | Multi-tenancy | NVIDIA CUDA | NVIDIA MIG | NVIDIA NCCL | NVIDIA Triton | NVidia CUDA Toolkit | Observability | OpenAI API | OpenTelemetry | Pipeline parallelism | Prometheus | Pruning | Python | Quantization | RBAC | RDMA | Ray | SLA | SLI | SLO | SRE | SecOps | Tensor Parallelism | Torchserve
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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