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Postuler

Publié avant-hier

Senior AI Engineer

@ Zodiac Solutions, Inc

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Montréal, Québec

Temps plein5+ ans d’expérience
Postuler
SIGNAUX

En bref

Zodiac Solutions, Inc is hiring a Senior AI Engineer on a full-time basis. The role builds and deploys generative AI and LLM-based applications, with a focus on RAG, agents and MLOps. The posting asks for 5 to 8+ years of AI/ML or software engineering experience and hands-on Python skills.

Responsabilités :

  • Design and build generative AI and LLM applications
  • Implement RAG, embeddings and AI agent systems
  • Deploy and monitor models using MLOps and CI/CD practices
  • Integrate AI services through REST APIs and microservices

Résumé des exigences :

  • 5 to 8+ years of AI/ML or software engineering experience
  • Strong hands-on Python development
  • Experience with generative AI and LLMs
  • Experience with at least one major cloud platform
  • Hands-on experience with Docker and Kubernetes
  • Knowledge of AI security and responsible AI

Outils et compétences

PythonPyTorchTensorFlowScikit-learnHugging FaceLangChainLangGraphDockerKubernetesGit
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-11
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

NiveauSenior
DomaineDonnées et analytique
Expérience5 an(s) et plus
Heures par semaine40 (estimé)
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler

Zodiac Solutions, Inc

Toutes ses offres
ChampValeur
Offres sur Jobsy11
Description

equired Skills

  • 5–8+ years of experience in AI/ML, Machine Learning Engineering, Software Engineering, or Data Engineering.
  • Strong hands-on Python development experience.
  • Strong experience with Generative AI and LLMs.
  • Experience with RAG, embeddings, vector databases, prompt engineering, and AI agents.
  • Experience with frameworks such as:
  • PyTorch
  • TensorFlow
  • Scikit-learn
  • Hugging Face
  • LangChain / LangGraph
  • Strong understanding of REST APIs, FastAPI/Flask, microservices, and application integration.
  • Experience with at least one major cloud platform:
  • Microsoft Azure / Azure OpenAI / Azure ML
  • AWS / SageMaker
  • Google Cloud / Vertex AI
  • Hands-on experience with Docker and Kubernetes.
  • Experience with MLOps, CI/CD, Git, model deployment, monitoring, and observability.
  • Strong SQL and experience working with structured/unstructured data.
  • Experience with vector databases such as Pinecone, Azure AI Search, Weaviate, Milvus, or pgvector.
  • Strong understanding of AI security, responsible AI, data privacy, and governance.

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Lieux et modes de travail

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Tout le CanadaTélétravail · Hybride · Sur place · Sur le terrain

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