Design and plan CBC/Radio-Canada's future technology infrastructureOptimize Models, Inference and GPU InfrastructureDesign and build high-performance training and inference systems for LLMs and multimodal AI modelsCollaborate with the Technology & Infrastructure (T&I) team to design, right-size and evolve our internal GPU clusterPlan and develop the integration of AI solutions within CBC/Radio-Canada's media production environmentsMentor and elevate the organization's engineers and data scientists in large-scale ML system design and performance engineeringRequirementsBachelor's or master's degree in software engineering, information technology, artificial intelligence, mathematics or a related natural science fieldFunctional bilingualism (English and French) essential for Canada-wide communicationsAt least five years' proven experience developing and deploying AI/ML solutionsAt least eight years' experience building tools and platforms in a software engineering roleDemonstrated experience working with language models and designing solutions optimized for cost efficiency and scaleStrong conceptual understanding of LLM, RAG and AI agent architectures, including their frameworks and operational constraintsExperience selecting AI framework architectures (e.G., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure, AWS, GCP) and orchestration tools (Docker, Kubernetes) for scalable enterprise AI solutionsKnowledge of ModelOps, AI engineering,



DevOps and MLOps practices (including CI/CD pipelines)Solid understanding of machine learning and deep learning fundamentalsStrong technical documentation skills, with the ability to produce diagrams, demos and technical artifacts that make AI architectures understandable and actionableHands-on technical experience working with media production platforms (MAM/PAM) and designing scalable solutions in a highly available, 24/7 environmentSolid working knowledge of cloud technologies (AWS, Azure or GCP), virtualization, networking and storage.Core CompetenciesDemonstrates expertise in designing and optimizing AI/ML solutions, with a solid focus on large-scale system architecture and performance engineering. Proficient in integrating AI technologies within media production environments while mentoring engineering teams.Highest-signal resume keywordsAI/ML Solution DevelopmentLarge-Scale ML System DesignCloud Platform Experience (AWS, Azure, GCP)AI Frameworks (TensorFlow, PyTorch, Hugging Face)Bilingual Communication (English and French)ATS Optimization KeywordsHard SkillsMachine LearningDeep LearningModelOpsAI EngineeringDevOpsMLOpsTechnical DocumentationCost Efficiency OptimizationInference Systems DesignGPU Infrastructure OptimizationSoft SkillsMentoringCollaborationCommunicationIndustry KeywordsAI Solutions IntegrationHigh-Performance Training SystemsLanguage ModelsOperational ConstraintsScalable Enterprise AI SolutionsTools & TechnologiesDockerKubernetesMedia Production Platforms (MAM/PAM)CI/CD PipelinesVirtualizationNetworkingStorage #J-18808-Ljbffr

📌 Ai Architect – T & I (Montreal)
🏢 Jobtailor
📍 Montreal