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AI Developer - Senior, 6 months contract

@ Dimensional Tech Inc.

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Toronto, Ontario

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Overview

Dimensional Tech Inc. is hiring a senior AI developer on a six-month contract in Toronto, Ontario, running from September 2026 to March 2027. The work is onsite with one opening. The posting asks for a background in computer science, data science, or AI/ML, and a student or recent graduate may apply.

Responsibilities:

  • Build and test machine learning and LLM solutions
  • Track experiments and results
  • Work with Databricks and MLflow environments

Requirements summary:

  • Background in computer science, data science, or AI/ML
  • Python with pandas, scikit-learn, or PyTorch
  • Exposure to LLM frameworks such as DSPy, LangChain, or Hugging Face
  • Experience with Databricks, MLflow, or cloud ML environments
  • Detail-oriented with strong organizational skills

Tools & skills

Pythonpandasscikit-learnPyTorchDSPyLangChainHugging FaceDatabricksMLflow
Source and dates

Source type not verified · crelate

Employer posting date
2026-11-10
First seen by our source
2026-11-10
Source record updated
2026-11-10

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

Job details

SenioritySenior
DepartmentSoftware development
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish
EducationBachelor’s degree (preferred)
Fields of studyComputer Science, Data Science, AI/ML

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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Job description

• Location: Toronto, Ontario

• Duration: 2026-09-10 to 2027-03-31 (152 days)

• Job Type: Onsite

• Openings: 1

Requirements:

• Background in Computer Science, Data Science, or AI/ML (student or recent grad is good).

• Familiarity with Python and libraries like pandas, scikit-learn, or PyTorch.

• Exposure to LLM frameworks (DSPy, LangChain, Hugging Face, or equivalent).

• Comfortable working with Databricks / MLflow or other cloud ML environments.

• Detail-oriented with strong organizational skills for tracking experiments.

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