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Posted 3 days ago

Hybrid! Data Science Developer - Senior, 7 months contract

@ Dimensional Tech Inc.

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Toronto, Ontario

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SIGNALS

Overview

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.

Responsibilities:

  • 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

Requirements summary:

  • 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

Tools & skills

PythonSQLPower AutomateVS CodeGitJiraAzure OpenAICopilot StudioDatabricks
Source and dates

Source type not verified · crelate

Employer posting date
2026-11-04
First seen by our source
2026-11-06
Source record updated
2026-11-06

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentData & analytics
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

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Dimensional Tech Inc.

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FieldValue
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Job 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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