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Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11857 – Systems Administrator/Operations Support Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ11731 – Business Analyst – Senior (Onsite)
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week onsite
Added 2 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 2 days ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite · Onsite Requirement: 3 days per week at the client's Toronto office
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 2 days ago
B
Senior Analyst, FP&A
BRP
Montreal, QC
- Full-time
We are looking for a Senior Analyst, FP&A to support the financial modeling and planning needs of our Ecommerce business. The Senior Analyst will report to the Global Finance Manager for…
Added 2 days ago
A
Senior Interaction Designer [AQ-25818]
Aquent
Toronto, ON
- Contract
Supporting analytical thinking within large, complex data sets through the creation of innovative visualizations and interactions.
Added 2 days ago
SI
Senior Paid Social Manager
Scribd, Inc.
Vancouver, BC
- Full-time
We're seeking an experienced Senior Paid Social Manager to join our performance marketing team, focusing on scaling our presence across Meta, TikTok, Reddit, and exploring other emerging…
Added 2 days ago
HT
Financial Manager - PLM (Product Line Mgmt)
Husky Technologies
Bolton, ON
- Full-time
Translate complex data into clear, actionable recommendations for senior leadership
Added 2 days ago
HT
Director, Finance (CSM)
Husky Technologies
Bolton, ON
- Full-time
Serve as the senior finance partner to service leadership, operations, commercial teams, and Customer Success leaders, providing insight and challenge on strategic priorities, business…
Added 2 days ago
HT
Senior Financial Analyst - Corporate Accounting
Husky Technologies
Bolton, ON
- Full-time
Title: Senior Financial Analyst - Corporate Accounting
Added 2 days ago
VF
Actuarial Lead - Insurance
Volkswagen Financial Services Canada
Pickering, ON
- Contract
Develop and communicate business analytics to Senior Leadership
Added 2 days ago
NB
SAS Viya System Administrator
National Bank of Canada
Montreal, QC
- Full-time
Within the STAD (Cross-Functional Solutions, Acceleration and Data) sector, you will report to the Senior Director, Analytical Asset Management. You will work in a technology-driven…
Added 3 days ago
IE
Manager, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
The Manager, Supply Chain Analytics & Innovation reports to the Senior Director, Supply Chain Operations and partners with Supply Chain leaders to identify, design and implement…
Added 3 days ago
FT
Senior Machine Learning Engineer
FDE Times
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Build scalable data and model pipelines with strong reliability, observability, and automated retraining
Added 3 days ago
FT
Applied Machine Learning Research Scientist
FDE Times
Toronto, ON
- Full-time
You will work closely with researchers and senior engineers to implement and improve workflows for LLM pretraining, fine-tuning, and reinforcement learning-based post-training. This…

S M Software Solutions Inc

RQ00244 – Data Science Developer – Senior

Toronto, ON, Canada

Hybrid

Internship

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Job details

Job type: Internship
Workplace: Hybrid
Apply by: Dec 8, 2026
Posting language: English
Posted: Nov 8, 2026

Original job description

Client: Metrolinx – RQ00244

We are seeking a highly skilled Senior Data Science Developer with advanced hands-on expertise in Python, software engineering, Generative AI (GenAI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and machine learning. The ideal candidate will have strong experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services, APIs, prompt engineering, and production AI development. The successful candidate will design, develop, and implement enterprise AI solutions, intelligent agents, and reusable AI components while accelerating the delivery of priority AI use cases and establishing scalable, secure, and production-ready AI capabilities across the organization.

Role Snapshot

Job Title: RQ00244 – Data Science Developer – Senior
Client: Metrolinx
Work Location: 277 Front Street West, Toronto, Ontario, Canada
Work Arrangement: Hybrid – 3 Days per Week Onsite
Estimated Start Date: November 23, 2026
Estimated End Date: May 23, 2027
Business Days: 130.00
Hours: 7.25 hours per day
Public Sector Experience: Preferred but not required

Must Have

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.
Experience with the following technology stack:
- Python
- SQL
- Large Language Models (LLMs)
- Power Automate
- Visual Studio Code (VS Code)
- 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.

Description

The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources.

Key Responsibilities

Design, develop, test, and implement GenAI applications, intelligent agents, and AI-enabled solutions for priority business use cases.
Build reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple business areas.
Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques.
Integrate AI solutions with enterprise data sources, applications, APIs, and business workflows.
Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations.
Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions.
Apply software engineering practices including version control, testing, documentation, CI/CD, monitoring, and performance optimization.
Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions.
Incorporate Responsible AI, privacy, security, and data governance requirements into solution design and development.
Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.

Qualifications & Experience

Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent experience.
Significant experience in AI, machine learning, data science development, or software engineering.
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Experience developing solutions using LLMs, GenAI, RAG, AI agents, machine learning, and APIs.
Experience integrating AI solutions with enterprise applications and data platforms.
Knowledge of cloud-based AI platforms, software development practices, APIs, Git, CI/CD, testing, and monitoring.
Understanding of prompt engineering, model evaluation, Responsible AI, security, privacy, and AI governance.
Strong analytical, problem-solving, communication, and collaboration skills.

Work Arrangement & Additional Information

Work Arrangement: Hybrid.
Onsite Requirement: 3 days per week at the client's Toronto office.
Public Sector Experience: Preferred but not required.

How to Apply

If you are interested and your profile matches the requirements, kindly submit the following mandatory documents to hrsmss@smsoftconsulting.com by Monday, November 9, 2026, at 8:00 AM EST.

Mandatory Documents

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

Please note that we cannot proceed with your submission without the above mandatory documents.

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More about this job

Responsibilities

Design, develop, test, and implement enterprise AI applications, intelligent agents, reusable components, and APIs using GenAI, LLMs, RAG, and machine learning. Integrate solutions with enterprise data and workflows, evolve prototypes into secure production systems, and apply software engineering, evaluation, governance, and Responsible AI practices.

Requirements

Requires significant experience in AI, machine learning, data science development, or software engineering, with strong Python and SQL skills and experience building production-quality AI solutions. Candidates should have hands-on experience with LLMs, GenAI, RAG, agents, APIs, cloud AI platforms, and software development practices, plus relevant education or equivalent experience.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Machine Learning
Microsoft Azure AI Foundry
Azure Machine Learning
Azure AI Services
API Development
Prompt Engineering
Model Evaluation
Databricks
Power Automate
Software Engineering

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Machine Learning
Microsoft Azure AI Foundry
Azure Machine Learning
Azure AI Services
Azure OpenAI
Copilot Studio
Databricks
Power Automate
Visual Studio Code
Git
Jira
APIs
Prompt Engineering
Model Evaluation
Classification
Regression
Clustering
Feature Engineering
Machine Learning Pipelines
CI/CD
Responsible AI
Data Governance
Cloud Computing
Software Engineering

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Jobs in Canada