Build cloud-based AI infrastructure remotely from eligible Canadian locations, using Python, real-time inference, and high-volume data systems.
As a Staff Machine Learning Engineer, you will own technically ambitious systems from exploration through production. Your focus includes scalable machine learning services, streaming pipelines, diverse data stores, and operational foundations for enterprise AI. You will also align platform capabilities with product requirements and organizational objectives.

Key Responsibilities

Build robust systems supporting high-volume data processingOperate services for streaming workloads and real-time inferenceOwn initiatives through experimentation, deployment,



and optimizationStrengthen operational foundations for machine learning modelsCollaborate across teams on AI/ML platform capabilitiesRequirements:
At least 8 years owning ambitious AI/ML systems end to endProduction-grade Python machine learning application developmentCloud service experience with AWS, GCP, Azure, or comparable platformsExperience with high-volume data and streaming pipelinesStrong analytical, problem-solving, communication, and collaboration skillsLead production-scale AI infrastructure using Python, cloud services, streaming systems, and real-time machine learning engineering.
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📌 Staff Ai Infrastructure Engineer (Winnipeg)
🏢 Jobgether
📍 Winnipeg