Ai/Ml Engineer

Position Summary
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.Position Summary
The AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.Key Responsibilities
Design and develop AI applications, LLM-powered solutions, RAG systems and AI agentsBuild intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sourcesLiaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applicationsDevelop and evaluate machine learning models for forecasting, classification, prediction and other business use casesDeploy, monitor and maintain AI applications and models in production environmentsImplement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainabilityEvaluate AI solution quality, performance, accuracy, cost and scalabilityApply security, privacy, access control and responsible AI principles in accordance with enterprise policiesLiaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutionsKey Competencies
Analytical thinking and problem-solvingStrong software engineering and technical design skillsBusiness-oriented approach to solution developmentEffective communication and collaborationAttention to security, quality and maintainabilityAdaptability and continuous learningRequirements
Qualifications
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience3-5 years of relevant experience in software engineering, AI/ML engineering or applied AI developmentStrong programming skills in Python and working knowledge of SQLPractical experience with LLMs, AI APIs, prompt engineering and RAG conceptsExperience with APIs, data integration, data preparation and software development practicesFamiliarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable servicesUnderstanding of deployment practices, automated testing, version control and MLOpsKnowledge of AI evaluation, data privacy, application security and responsible AI principlesLegally eligible to work in CanadaNice to have
Experience with AI frameworks such as LangChain, LlamaIndex or Semantic KernelFamiliarity with vector databases, embeddings, semantic search and AI agent orchestrationExperience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systemsExposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelinesRelevant cloud, AI or machine learning certificationsKubernetes and infrastructure-as-code (Terraform)Fine-tuning and LLM evaluation frameworksExperience in a regulated enterprise settingBenefits
Extended Healthcare Plan (Medical, Disability, Dental & Vision)Group RRSPGroup Life - AD&D - Critical Illness InsuranceTraining & DevelopmentEmployee Assistance Program - CounselingPaid Time Off
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