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 products

Build infrastructure with FastAPI, SQL, PostgreSQL, Docker, and cloud platforms

Implement CI/CD, Airflow, automated testing, monitoring, and maintenance





Lead independent technical projects and establish engineering standards

Support hiring, onboarding, mentorship, and technical team growth

Requirements

Degree or master's in computing science, engineering, machine learning, or related discipline

Five or more years of relevant technical experience

Robust understanding of platforms, cloud services, APIs, and data pipelines

Experience leading projects and making sound technical decisions independently

Comfort working while systems, processes, and infrastructure are being established

Lead 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