Shape AI platform architecture with PostgreSQL, Docker, REST APIs, and cloud services for National Safety Services Inc. Help establish technology foundations.National Safety Services Inc. is building scalable, intelligent solutions for the contractor management space and occupational health and safety. As a Machine Learning Engineer, you will define the technology stack and infrastructure supporting AI products.

The work includes integrations, deployment practices, workflow orchestration, monitoring, and collaboration with senior leadership as the technical function grows.Key Responsibilities:

Define architecture and technology stacks for scalable AI productsBuild infrastructure with FastAPI, SQL, PostgreSQL, Docker, and cloud platformsImplement CI/CD, Airflow, automated testing, monitoring,



and maintenanceLead independent technical projects and establish engineering standardsSupport hiring, onboarding, mentorship, and technical team growthRequirements:

Degree or master's in computing science, engineering, machine learning, or related disciplineFive or more years of relevant technical experienceStrong understanding of platforms, cloud services, APIs, and data pipelinesExperience leading projects and making sound technical decisions independentlyComfort working while systems, processes, and infrastructure are being establishedLead AI platform architecture, MLOps, and technical growth while helping NSS modernize safety management through machine learning.

📌 Ai Platform Architecture Machine Learning Engineer (Winnipeg)
🏢 Avenue.io
📍 Winnipeg