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Publié il y a 6 jours

Hybrid! Data Science Developer - Senior, 6 months contract

@ Dimensional Tech Inc.

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Toronto, Ontario

Postuler
SIGNAUX

En bref

Dimensional Tech Inc. is hiring a senior data science developer for a 6-month contract in Toronto, Ontario, from November 23, 2026 to April 23, 2027. The hybrid role requires three days a week on site and focuses on enterprise data architecture and AI/ML data models on Azure.

Responsabilités :

  • Design enterprise data architectures and data models for AI/ML and cloud workloads
  • Support data requirements for model training, inference, RAG and feature engineering
  • Build data pipelines, integration, APIs and metadata for AI/ML solutions
  • Ensure data governance, lineage, quality, security and privacy

Résumé des exigences :

  • Significant experience in enterprise data architecture and data modeling
  • Deep expertise in cloud data platforms and data engineering
  • Strong knowledge of the Azure data and AI ecosystem
  • Experience with Azure Machine Learning and Microsoft Foundry
  • Understanding of data governance and information lifecycle management

Outils et compétences

AzureAzure Machine LearningMicrosoft FoundryAzure AI Foundry
Source et dates

Type de source non vérifié · crelate

Date publiée par l’employeur
2026-11-04
Première détection par notre source
2026-11-06
Mise à jour du dossier source
2026-11-07

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

Détails du poste

NiveauSenior
DomaineDéveloppement logiciel
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

Dimensional Tech Inc.

Toutes ses offres
ChampValeur
Offres sur Jobsy164
Description

• Location: Toronto, Ontario

• Duration: 2026-11-23 to 2027-04-23 ( 110 days)

• Job Type: Hybrid, 3 days onsite per week

• Openings: 1

Requirements:

• Significant experience designing enterprise data architectures and conceptual, logical, and physical data models for AI/ML, Generative AI, analytics, and cloud workloads, including the data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.

• Deep technical expertise in modern cloud data platforms, data engineering, integration, APIs, metadata, lineage, and data quality, with strong knowledge of the Azure data and AI ecosystem, Azure Machine Learning, and Microsoft Foundry/Azure AI Foundry, and architectural patterns supporting scalable AI/ML solutions.

• Strong understanding of data governance, data ownership, lineage, data quality, security, privacy, and information lifecycle management, with the ability to design governed, traceable, and fit-for-purpose data architectures that support the AI/ML and model lifecycle.

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