Jobs in Canada

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Added 8 hours ago
BC
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SM
Job Title: RQ00393 – Database Admin I
S M Software Solutions Inc
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RQ11860 – Database Administrator – Senior
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SM
RQ11580 – Software Developer – Senior (Onsite)
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week · Onsite Requirement: 5 days per week
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RQ11857 – Systems Administrator/Operations Support Specialist – Senior
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S M Software Solutions Inc

RQ11580 – Software Developer – Senior (Onsite)

Toronto, ON, Canada

Internship

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Applications open in a new tab.

Job details

Job type: Internship
Apply by: Dec 10, 2026
Posting language: English
Posted: Nov 10, 2026

Original job description

Client: Ministry of Public and Business Service Delivery and Procurement – RQ11580

We are seeking a Senior Software Developer – Data Science & AI/ML to support the Government of Ontario's large-scale Data & AI transformation initiative. The ideal candidate will have a background in Computer Science, Data Science, or Artificial Intelligence/Machine Learning (AI/ML), along with hands-on familiarity with Python, machine learning libraries, Large Language Model (LLM) frameworks, and cloud-based machine learning environments.

The successful candidate will support inference execution and monitoring, pipeline and evaluation activities, data preparation, experimentation, and performance tracking using technologies such as Databricks, MLflow, DSPy, LangChain, Hugging Face, and other equivalent frameworks.

Role Snapshot

Job Title: RQ11580 – Software Developer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 222 Jarvis Street, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: September 10, 2026
Estimated End Date: March 31, 2027
Business Days: 152.00
Extension: Probable after the initial mandate
Hours: 7.25 hours per day
Security Level: No Clearance Required

Must Have

Background in Computer Science, Data Science, or AI/ML (students or recent graduates are also welcome).
Familiarity with Python and libraries such as:
- pandas
- scikit-learn
- PyTorch
Exposure to Large Language Model (LLM) frameworks, including:
- DSPy
- LangChain
- Hugging Face
- Equivalent frameworks
Comfortable working with Databricks, MLflow, or other cloud-based machine learning environments.
Detail-oriented with strong organizational skills for tracking experiments.

Description

The Government of Ontario is embarking on a large Data & AI transformation initiative. Core to the transformation is the enablement of the Ontario Data Platform (ODP), which is being developed as the enterprise technology ecosystem for everything Data & AI.

ODP is a modern ecosystem of data solutions consisting of data ingestion technologies, storage, processing, and visualization, as well as solutions related to data governance, quality, marketplace, etc.

ODP will initially serve all internal government clusters, ministries, and program areas, but will also support external agencies in the future.

We are looking for a Data Scientist to support various initiatives related to the platform, as well as the execution of use cases to support the needs of various businesses within the government.

Key Responsibilities

Run and Monitor Inferences
Execute batch inference jobs on Databricks and other environments.
Troubleshoot inference issues, log results, and escalate model anomalies.
Pipeline and Evaluation Support
Assist with running DSPy pipelines and loading custom models/configurations.
Support evaluation runs using internal metrics.
Track and summarize performance metrics for inference experiments.
Data Handling and Experimentation
Help prepare and clean legal text datasets for inference and evaluation.
Annotate outputs to support error analysis and benchmarking.
Maintain reproducible scripts and notebooks for inference runs.

Experience And Skill Set Requirements

The experience and skill set requirements are divided into the following categories:

Technical Skills - 50%
Familiarity with Python programming and machine learning libraries, including pandas, scikit-learn, and PyTorch.
Understanding of Computer Science, Data Science, or AI/ML concepts.
Ability to execute, monitor, and troubleshoot inference jobs.
Experience or exposure to cloud-based machine learning environments.
Ability to prepare, clean, and handle datasets for inference and evaluation.
Ability to maintain reproducible scripts and notebooks for experimentation.
Strong organizational and analytical skills for tracking experiments and performance metrics.
LLM Frameworks - 25%
Exposure to Large Language Model (LLM) frameworks such as DSPy, LangChain, Hugging Face, or equivalent.
Ability to assist with running DSPy pipelines.
Experience or familiarity with loading custom models and configurations.
Ability to support evaluation runs using internal metrics.
Ability to track, analyze, and summarize performance metrics for inference experiments.
Ability to annotate outputs to support error analysis and benchmarking.
Databricks/MLflow - 25%
Comfortable working with Databricks and MLflow or other cloud-based machine learning environments.
Ability to execute batch inference jobs on Databricks and other environments.
Experience or familiarity with troubleshooting inference issues and logging results.
Ability to monitor model performance and escalate model anomalies.
Ability to support machine learning pipelines, inference runs, and experimentation activities.

How to Apply

If you are interested and your profile matches the requirements, kindly send the following mandatory documents to hrsmss@smsoftconsulting.com by Thursday, November 12, 2026, at 10:00 AM EST.

Mandatory Documents

Updated Resume in Word format (Mandatory)
References (Mandatory)
Expected Hourly Rate (Mandatory)
Visa Status (Mandatory)
LinkedIn ID (Mandatory)

Without the mandatory documents, we cannot submit a candidate.

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Additional Information

Onsite Requirement: 5 days per week.

Email is the best way to reach us.

You have received this message either as a result of contacting our company to express interest in employment or as a result of posting your resume in a location that can be accessed by recruiters or HR specialists, which suggests an interest in being contacted about employment opportunities.

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More about this job

Responsibilities

Run and monitor batch inference jobs, troubleshoot issues, record results, and escalate model anomalies across Databricks and other machine learning environments. Support LLM pipelines and evaluations, prepare and annotate datasets, and maintain reproducible scripts while tracking experiment performance.

Requirements

Candidates should have a background in Computer Science, Data Science, or AI/ML, with familiarity in Python and libraries such as pandas, scikit-learn, and PyTorch. They should have exposure to LLM frameworks and cloud-based machine learning environments, plus strong organizational and analytical skills for experiments and performance metrics.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Scikit-Learn
PyTorch
Computer Science
Data Science
Artificial Intelligence
Machine Learning
Large Language Models
DSPy
LangChain
Hugging Face
Databricks
MLflow
Cloud Machine Learning
Batch Inference
Inference Monitoring
Machine Learning Pipelines
Model Evaluation
Performance Metrics
Data Preparation
Dataset Annotation
Experiment Tracking
Reproducible Notebooks
Error Analysis
Benchmarking
Ontario Data Platform
Data Governance
Data Quality

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Work requirements

Jobs in Canada