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 processing
- Operate services for streaming workloads and real-time inference
- Own initiatives through experimentation, deployment, and optimization
- Strengthen operational foundations for machine learning models




- Collaborate across teams on AI/ML platform capabilities

Requirements:

- At least 8 years owning ambitious AI/ML systems end to end
- Production-grade Python machine learning application development
- Cloud service experience with AWS, GCP, Azure, or comparable platforms
- Experience with high-volume data and streaming pipelines
- Robust analytical, problem-solving, communication, and collaboration skills

Lead production-scale AI infrastructure using Python, cloud services, streaming systems, and real-time machine learning engineering.

📌 Staff AI Infrastructure Engineer (Canada)
🏢 Jobgether
📍 Canada