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 techniques Optimize models through fine-tuning, distillation, and related methods Design cloud-based infrastructure for streaming and real-time inference Develop consistent AI evaluation metrics and tooling Deploy,



monitor, and continuously improve LLM-powered applications Requirements:

At least 8 years of applied AI/ML experience Solid Python proficiency and production machine learning experience Knowledge of transformers, statistical learning, and large language models Extensive MLOps and LLMOps experience at scale Experience building cloud services using AWS, GCP, Azure, or comparable platforms Apply 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