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Job Description & How to Apply Below
ELEKS is looking for a MLOps/LLMOps Architect in Canada.
Key Responsibilities- Design enterprise MLOps and LLMOps architecture
- Build deployment strategies for AI and LLM solutions
- Implement monitoring, observability, and evaluation frameworks
- Design CI/CD pipelines for machine learning workloads
- Collaborate with AI researchers, platform engineers, and Dev Ops teams
- Support AI governance and security requirements
- Advise client stakeholders on operational AI best practices
- 7+ years of experience in Machine Learning Engineering or MLOps
- Experience with LLM deployment and operationalization
- Strong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, Sage Maker or similar platforms
- Experience deploying GenAI applications in enterprise environments
- Knowledge of RAG architectures, vector databases, model evaluation, and prompt management
- Experience with Kubernetes, Docker, CI/CD pipelines
- Familiarity with GPU infrastructure
- Strong understanding of AI governance and model lifecycle management
- Upper-Intermediate or higher level of English
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