Jobs in Vaughan

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Within 25 km of Vaughan

Added 8 hours ago
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Help Desk Specialist
Atlas-Apex Roofing Inc.
Toronto, ON
- $70,000 to $80,000 CAD / year
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Senior Analyst, Third Party Risk
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Toronto, ON
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B
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Toronto, ON
- $56.85 to $68.22 CAD / hour
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Toronto, ON
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Intermediate Software Developer
Teckhorizon Inc
Toronto, ON
Added 8 hours ago
Full-Stack Automation Engineer
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Toronto, ON
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Bilingual Business Analyst - French, Branch Experiences & Enablement
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Toronto, ON
- $60 to $72 CAD / hour
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Toronto, ON
- $35 to $50 CAD / hour
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E
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Intermediate / Senior Architectural Technologist
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Toronto, ON
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Teckhorizon Inc

Intermediate Software Developer

Toronto, ON, Canada

Contract

Within 25 km of Vaughan · About 22.9 km from the city centre

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Job details

Job type: Contract
Apply by: Nov 28, 2026
Posted: Oct 29, 2026

Original job description

The client is undertaking a large-scale Data and Artificial Intelligence (AI) transformation initiative focused on developing and enabling the Ontario Data Platform (ODP). ODP is an enterprise technology ecosystem designed to support data ingestion, storage, processing, visualization, governance, data quality, and data marketplace capabilities. The selected candidate will support AI/ML initiatives within ODP, focusing on running and monitoring machine learning inference workloads, supporting Large Language Model (LLM) pipelines, evaluating model performance, and preparing datasets for experimentation. The role requires practical experience with Python, machine learning libraries, LLM frameworks, and cloud-based ML environments.

Key Responsibilities

Execute, monitor, and troubleshoot batch inference jobs in Databricks and other ML environments.
Support DSPy pipelines, including custom model and configuration loading.
Conduct LLM evaluation runs and track model performance metrics.
Prepare, clean, and validate legal text datasets for inference and evaluation.
Annotate model outputs for error analysis and benchmarking.
Maintain reproducible Python scripts, notebooks, and experiment documentation.
Identify, document, and escalate model anomalies.

Must-Haves

Background in Computer Science, Data Science, AI/ML, or a related field (students and recent graduates welcome).
Hands-on experience with Python and libraries such as pandas, scikit-learn, or PyTorch.
Exposure to LLM frameworks such as DSPy, LangChain, or Hugging Face.
Familiarity with Databricks, MLflow, or equivalent cloud ML environments.
Strong analytical, troubleshooting, organizational, and documentation skills.

Nice-to-Haves

Hands-on experience building or executing DSPy-based LLM pipelines.
Experience with batch inference, LLM evaluation, and experiment tracking.
Knowledge of prompt optimization, model benchmarking, and error analysis.
Experience processing unstructured text or legal datasets.
Familiarity with ML workflow automation and reproducible experimentation.

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More about this job

Responsibilities

Execute, monitor, and troubleshoot batch inference workloads and DSPy pipelines, and conduct LLM evaluations while tracking model performance. Prepare and annotate legal text datasets, maintain reproducible scripts and experiment documentation, and identify and escalate model anomalies.

Requirements

Candidates should have a background in computer science, data science, AI/ML, or a related field; students and recent graduates are welcome. Hands-on Python and machine learning library experience, exposure to LLM frameworks and cloud ML environments, and strong analytical, troubleshooting, organizational, and documentation skills are required.

Skills

Python
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Databricks
MLflow
Machine Learning
LLM Evaluation
Batch Inference
Dataset Preparation
Model Performance Tracking
Error Analysis
Experiment Documentation

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Databricks
MLflow
Ontario Data Platform
Artificial Intelligence
Machine Learning
Large Language Models
Batch Inference
LLM Pipelines
Model Evaluation
Model Benchmarking
Prompt Optimization
Experiment Tracking
Dataset Preparation
Legal Text
Unstructured Text
Data Ingestion
Data Processing
Data Governance
Data Quality
Reproducible Experimentation
Workflow Automation
Error Analysis
Cloud ML Environments

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