AI Platform Architecture Machine Learning Engineer

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
• Strong 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.