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 Strong 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.
#J-18808-Ljbffr
Staff Machine Learning Engineer LLMOps in Winnipeg employer: Jobgether
EverPro is an exceptional employer that prioritizes employee growth and well-being, offering a fully remote work environment within Canada, with the added flexibility of using the Toronto office. Our culture fosters collaboration and innovation, providing competitive compensation and comprehensive wellness benefits, making it an ideal place for talented engineers to thrive and contribute to the success of our widely used invoicing platform.
