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Added 11 hours ago
Q
FY27 Intern - AI Software Systems Co-op - Canada (4 months)
Qualcomm
Toronto, ON
- Full-time
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FY27 Intern - Deep Learning Research Internship - Embodied AI - Canada (4 Months)
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FY27 Intern - Softip Engineering Co-Op - Canada (4 months)
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Toronto, ON · Scarborough, ON
- Full-time
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Lotus IT Solutions

Software Developer

Toronto, ON, Canada

Contract

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Job details

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

Original job description

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Ref: RQ11828 Contract – 5 Months (Extension Possible) Onsite – Toronto (222 Jarvis St)

Posted Date: 2026-10-29

Location: Onsite – Toronto (222 Jarvis St)

Public Sector Experience: Required – OPS / Public Sector

Contract End Date: 2027-03-31 *

Rate: $83/hour

Overview

The Government of Ontario is undertaking a large-scale Data & AI transformation initiative centred on the Ontario Data Platform (ODP) - an enterprise technology ecosystem encompassing data ingestion, storage, processing, visualization, governance, and marketplace capabilities. The Government Services Integration Cluster (Ministry of Public and Business Service Delivery and Procurement) is seeking an Intermediate Software Developer with a data science focus to support platform initiatives and the execution of AI/ML use cases across government ministries and program areas.

Key Responsibilities

Execute batch inference jobs on Databricks and other cloud ML environments
Troubleshoot inference issues, log results, and escalate model anomalies as required
Assist with running DSPy pipelines and loading custom models and configurations
Support evaluation runs using internal metrics and frameworks
Track and summarize performance metrics for inference experiments
Help prepare and clean legal text datasets for inference and evaluation tasks
Annotate model outputs to support error analysis and benchmarking activities
Maintain reproducible scripts and notebooks for inference runs and experimentation

Must-Have Requirements

Background in Computer Science, Data Science, or AI/ML (students or recent graduates are welcome to apply)
Proficiency in Python with hands-on experience using libraries such as pandas, scikit-learn, or PyTorch
Exposure to LLM frameworks including DSPy, LangChain, Hugging Face, or equivalent tools
Practical experience working with Databricks, MLflow, or other cloud-based ML environments
Detail-oriented with strong organizational skills for tracking and managing experiments

Work Environment

This is a fully onsite role based at 222 Jarvis St, Toronto, Ontario - five days per week in office. No security clearance is required. The consultant will work within the Ontario Data Platform team supporting an Agile, experiment-driven environment focused on delivering Data & AI capabilities across government.

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Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.

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More about this job

Responsibilities

Run batch inference jobs and DSPy pipelines in Databricks and other cloud ML environments, troubleshoot issues, and escalate model anomalies. Prepare legal text datasets, support model evaluation and output annotation, track experiment metrics, and maintain reproducible scripts and notebooks.

Requirements

Applicants should have a background in computer science, data science, or AI/ML; students and recent graduates are welcome. The role requires Python experience with relevant data or ML libraries, exposure to LLM frameworks, practical experience with Databricks, MLflow, or similar cloud ML environments, and strong attention to detail and organization.

Skills

Python
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Databricks
MLflow
Batch Inference
Machine Learning
Data Science
Large Language Models
Experiment Tracking
Dataset Preparation
Model Evaluation

Visa sponsorship

Not detected in the job text

Keywords

Ontario Data Platform
Government of Ontario
Public Sector
Data And AI Transformation
Data Ingestion
Data Storage
Data Processing
Data Visualization
Data Governance
Data Marketplace
Python
Pandas
Scikit-Learn
PyTorch
DSPy
LangChain
Hugging Face
Databricks
MLflow
Cloud Machine Learning
Batch Inference
Large Language Models
Model Evaluation
Experiment Tracking
Legal Text Datasets
Error Analysis
Benchmarking
Reproducible Notebooks
Agile
Artificial Intelligence

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