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AI Platform Engineerfreelance.ca • Montreal, Canada
AI Platform Engineer

AI Platform Engineer

freelance.ca • Montreal, Canada
30+ days ago
Salary
CA$80,000.00 yearly
Job type
  • Full-time
Job description
English version below / Usage de l'anglais requis pour échanger avec collègues anglophones et relations d'affaires avec d'autres provinces / US.💼 Offre d'emploi : AI Platform Engineer📍 Localisation : Montréal🏢 Mode de travail : Hybride (présence bureau 3x/semaine, onboarding onsite)🚀 Début : Dès que possible💰 Salaire : 80,000$ - 95,000$ Le masculin est utilisé pour alléger l'annonce.🚀 Ce que nous allons accomplir ensemble :Tu rejoins une grande organisation pour construire une plateforme GenAI à l’échelle entreprise. Tu seras au cœur de l’innovation en développant des capacités avancées pour transformer les usages internes. Ton impact sera direct sur la manière dont l’IA est conçue, déployée et gouvernée.🎯 Votre mission (…si vous l’acceptez !) :Concevoir et faire évoluer une plateforme GenAI robuste, sécurisée et scalable pour un usage à grande échelle.⚙️ Votre quotidien sera rythmé par :• Concevoir et développer une plateforme d’évaluation et de développement GenAI à l’échelle de l’entreprise• Créer des outils self-service, SDKs et APIs pour accélérer le développement d’applications IA• Développer des composants réutilisables pour systèmes GenAI et agents intelligents• Déployer des workloads GenAI conteneurisés via Kubernetes / OpenShift avec GitOps• Intégrer des LLMs, bases vectorielles, embeddings et frameworks agents• Piloter les décisions d’architecture (sécurité, scalabilité, observabilité, fiabilité)• Collaborer avec des équipes data, produit, sécurité et ingénierie🧰 Votre Stack de Jeu :• Python (FastAPI, Flask)• Kubernetes / OpenShift, Helm, GitOps• LLM, embeddings, vector databases• Kafka, Redis, SQL / NoSQL• APIs REST, microservices• Observabilité : Prometheus, Grafana, OpenTelemetry• CI/CD, pratiques DevOps🧠 Vous :• Tu as 6+ ans d’expérience en développement logiciel (Python idéalement)• Tu maîtrises les environnements cloud-native et Kubernetes• Tu as une expérience concrète en GenAI et LLM (orchestration, fine-tuning, évaluation)• Tu comprends les architectures microservices et systèmes distribués• Tu es à l’aise avec les pipelines data et bases de données avancées• Tu appliques des pratiques DevOps et SRE• Tu intègres les enjeux de sécurité et d’authentification (OAuth2)• Une expérience en LLMOps / ModelOps est un plus
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AI Platform Engineer • Montreal, Canada

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