ML Ops Engineer - Toronto
1 week ago

Job summary
We're in search of a skilled and driven ML Ops engineer who can support the full operational lifecycle of both traditional machine learning systems and emerging generative AI driven applications.++
Responsibilities
- Deploy and operate ML models and LLMs using Vertex AI, Cloud Run, and GKE.
- Automate packaging, versioning, and release of models, prompts, embeddings, and related artifacts.
- Design scalable inference architectures (sync, async), including batching and GPU/TPU autoscaling.
Job description
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