Shape large language model infrastructure remotely in Canada, focusing on inference optimization and production-ready AI systems at enterprise scale.This Staff Machine Learning Engineer role connects advanced research with practical engineering. You will design scalable AI/ML infrastructure, develop evaluation frameworks, and improve LLM-powered applications. The work includes fine-tuning, distillation, orchestration, MLOps, and LLMOps for reliable intelligent customer engagement experiences.Key Responsibilities:
Research and implement large language model inference techniquesOptimize models through fine-tuning, distillation, and related methodsDesign cloud-based infrastructure for streaming and real-time inferenceDevelop consistent AI evaluation metrics and toolingDeploy, monitor,



and continuously improve LLM-powered applicationsRequirements:
At least 8 years of applied AI/ML experienceStrong Python proficiency and production machine learning experienceKnowledge of transformers, statistical learning, and large language modelsExtensive MLOps and LLMOps experience at scaleExperience building cloud services using AWS, GCP, Azure, or comparable platformsApply staff-level machine learning expertise across Python, LLMOps, evaluation, and scalable cloud AI infrastructure in Canada.
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📌 Staff Machine Learning Engineer Llmops Winnipeg
🏢 Jobgether
📍 Winnipeg