Senior Mlops And Llmops Engineer

Shape MLOps and LLMOps capabilities in Toronto using model deployment, automated evaluation, observability, and lifecycle controls for production AI.Scotiabank seeks a Senior MLOps and LLMOps Engineer to establish reliable patterns for machine learning and generative AI platforms. You will lead architecture, engineering standards, and reusable services spanning model serving, prompt versioning, release controls, and monitoring. Collaboration includes data, security, risk, product, and architecture stakeholders.Key Responsibilities:
Define production-grade MLOps and LLMOps patternsBuild model deployment, evaluation, monitoring, and lifecycle capabilitiesArchitect retrieval-augmented generation and agentic workflowsEmbed security, privacy, governance, and auditability into platformsEvaluate technologies and influence adoption decisionsRequirements:
Five or more years designing production platforms or distributed systemsExperience with model serving, registries, feature pipelines, and observabilityStrong knowledge of generative AI application patterns and operational risksExperience with MLflow, Kubeflow, Airflow, Ray, Spark, or similarExperience with regulated environments and model risk managementApply MLOps, LLMOps, generative AI, and governance expertise to scalable enterprise platforms at Scotiabank.
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