Postuler

Publié il y a 6 jours

Hybrid! Data Science Developer - Senior, 7 months contract

@ Dimensional Tech Inc.

Toronto, Ontario

Postuler
SIGNAUX

En bref

Dimensional Tech Inc. is hiring a Senior Data Science Developer on a hybrid 7-month contract in Toronto, Ontario, running from 2026-11-23 to 2027-05-23. The work centres on building production AI solutions with LLMs, RAG, agentic AI and Azure AI services. The role is one opening and the posting states hybrid work with no office-day count.

Responsabilités :

  • Design and build LLM, RAG and agentic AI solutions
  • Develop and evaluate machine learning models
  • Build cloud-based AI solutions on Azure
  • Develop ML pipelines and data workflows

Résumé des exigences :

  • Advanced hands-on Python and software engineering
  • Strong Microsoft Foundry and Azure AI experience
  • Solid foundation in statistics and machine learning
  • Demonstrated measurable model performance results

Outils et compétences

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
DomaineDonnées et analytique
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.

Dimensional Tech Inc.

ChampValeur
Offres sur Jobsy164
Description

• Location: Toronto, Ontario

• Duration: 2026-11-23 to 2027-05-23 ( 130 days)

• Job Type: Hybrid

• Openings: 1

Requirements:

• Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.

• Strong hands-on experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services and cloud-based AI solution development.Tech stack: Python, SQL, LLM, Power Automate, VSCode, Git, Jira, Azure (mainly OpenAI, Copilot Studio and Foundry), Databricks.

• Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation and ML pipelines, with demonstrated ability to develop solutions that achieve measurable performance.

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