Industrialize classic, generative and agentic AI solutions on Azure and Databricks for a major public energy player in Quebec.MLflowPython / PySparkTerraformContext
A major public energy player in Quebec is launching a multi-year AI services program through a North American integration partner. In this context, we are looking for an MLOps developer to industrialize and operate classic, generative and agentic AI solutions on Azure and Databricks.Your missions
Experiment tracking, model registry, packaging and deployment with MLflowTraining, validation, batch and real-time inference and deployment pipelinesMLOps, LLMOps and AgentOps practices: CI/CD, automation, infrastructure as code, workplace managementPipeline instrumentation and monitoringSecurity, traceability, secrets management, quality controlsReusable libraries, templates and acceleratorsTerms
Montreal, hybrid depending on the mandate. Day schedule. Working language for deliverables: French. Mandate executed under a multi-year framework agreement, duration and start date per statement of work.
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📌 Mlops Developer (Winnipeg)
🏢 Abbeal
📍 Winnipeg