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3 days ago
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Requirements and responsibilities
ELEKS is looking for a MLOps/LLMOps Architect in Canada.Alberta-based candidates are strongly preferred (Calgary or Edmonton). Canada-based candidates will also be considered.ABOUT CLIENTOur customer is building a next-generation AI platform that enables organizations to securely develop, govern, and operationalize artificial intelligence while ensuring that sensitive data and organizational knowledge remain fully under their control. The platform combines advanced AI capabilities with enterprise-grade governance, security, and data sovereignty to support mission-critical decision-making.The solution serves government organizations and enterprise customers operating in highly regulated and security-sensitive environments, where reliability, accountability, and trust are essential. The platform supports intelligent decision-making across strategic planning, workforce intelligence, and organizational operations, helping customers leverage AI without compromising security, compliance, or control over their data.REQUIREMENTS7+ years of experience in Machine Learning Engineering or MLOps3+ years designing production-grade MLOps platformsExperience with LLM deployment and operationalizationStrong knowledge of MLflow, Kubeflow, Vertex AI, Azure ML, SageMaker or similar platformsExperience deploying GenAI applications in enterprise environmentsKnowledge of RAG architectures, vector databases, model evaluation, and prompt managementExperience with Kubernetes, Docker, CI/CD pipelinesFamiliarity with GPU infrastructureStrong understanding of AI governance and model lifecycle managementUpper-Intermediate or higher level of EnglishRESPONSIBILITIESDesign enterprise MLOps and LLMOps architectureBuild deployment strategies for AI and LLM solutionsDefine model lifecycle management processesImplement monitoring, observability, and evaluation frameworksDesign CI/CD pipelines for machine learning workloadsCollaborate with AI researchers, platform engineers, and DevOps teamsSupport AI governance and security requirementsAdvise client stakeholders on operational AI best practicesWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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