Design LLM applications using Python, RAG, embeddings, and vector search for National Safety Services Inc. in Canada. Translate safety requirements into practical AI solutions.This Machine Learning Engineer will develop intelligent applications supporting NSS’s occupational health and safety technology direction. You will work with OpenAI, Gemini, or similar LLM APIs, alongside LangChain or LangGraph frameworks.

Your contributions will span document processing pipelines, compliance assessments, risk identification, and gap analysis while supporting production reliability.Key Responsibilities:

Design and deploy LLM-powered applications from prototype through MVPImplement RAG, embeddings, vector search,



and document processing pipelinesTranslate regulatory requirements into practical AI-powered solutionsCollaborate with occupational health and safety subject matter expertsTroubleshoot challenges and communicate technical decisions to senior leadershipRequirements:

Five or more years in machine learning engineering, applied AI, or related rolesStrong Python skills and experience with ML frameworks and development toolsExperience using LLM APIs such as OpenAI or GeminiAbility to explain architecture, trade-offs, resources, and risks clearlyCritical, independent thinking with intellectual curiosity and willingness to learnBring LLM engineering, document analysis, and Python expertise to NSS’s AI modernization of occupational health and safety systems.

📌 Llm Applications Machine Learning Engineer (Winnipeg)
🏢 Avenue.io
📍 Winnipeg