Build LLM-powered applications with Python and cloud platforms for National Safety Services Inc. in a growing technical environment. Shape AI solutions from prototype through production. As a Machine Learning Engineer, you will lead applied AI delivery for NSS, an occupational health and safety consultancy and technology company. You will design production systems using LLM APIs, RAG, vector search, and document processing. The work connects regulatory and business requirements with practical solutions for compliance assessments, risk identification, and gap analysis. Key Responsibilities:
Lead AI and machine learning solutions from prototype through production Develop LLM applications with Python, APIs, LangChain, and LangGraph Define scalable architecture, platforms, tools, and system integrations Build REST APIs, SQL systems, vector databases, and cloud infrastructure Implement MLOps, CI/CD, testing, monitoring, and maintenance practices Requirements:
Degree or master's in computing science, machine learning, engineering, or related discipline Five or more years of relevant machine learning or software engineering experience Experience moving ML or AI solutions from prototype into production Strong Python programming skills with relevant ML frameworks and tools Legal eligibility to work in Canada Apply machine learning, Python, LLM APIs, and scalable infrastructure to modernize occupational health and safety technology at NSS.
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