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Added 18 hours ago
SM
RQ00244 – Data Science Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
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),…
Added 18 hours ago
SM
RQ11858 – Oracle Cloud Integration Specialist – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Oracle Integration Cloud, Oracle Data Integrator, and custom…
Added 18 hours ago
SM
RQ11487 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer – ETL with strong expertise in Azure data technologies, data engineering, ETL development, Microsoft Fabric, Azure Databricks,…
Added 18 hours ago
SM
RQ11673 – Report Developer – Junior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Junior Report Developer / Data Engineer with experience in developing, implementing, and maintaining enterprise data solutions using modern Azure cloud technologies. The…
Added 18 hours ago
SM
RQ00245 – Machine Learning Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Added 18 hours ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a Senior Software Developer – ETL with significant hands-on experience in designing, developing, and maintaining scalable, production-grade data pipelines and integration…
Added 18 hours ago
SM
RQ11843 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
We are seeking a highly experienced Senior Software Developer with strong expertise in developing, designing, implementing, and maintaining n-tier enterprise applications. The ideal…
Added 18 hours ago
B
Senior Technical Specialist
BMO
Toronto, ON · SCC
- Full-time
Perform SQL-based data analysis, reconciliation, validation, and root-cause investigation.
Added 19 hours ago
SO
Senior Software Engineer, Dentrix Ascend
Software of Excellence
Surrey, BC
- Full-time
Strong understanding of relational databases, SQL, data modelling, and ORM frameworks
Added 19 hours ago
UO
Senior Software Developer
University of Victoria
Victoria, BC
- Full-time
The Senior Software Developer (Senior Developer) works as part of a team of developers to design, develop, troubleshoot, maintain and deploy software components for acquiring, publishing…
Added 19 hours ago
B
Sr.Analyst-Payments Automation & Analytics
BeachHead
Toronto, ON
- $43.48 to $56.52 CAD / hour
- Contract
Strong process automation experience using Python, SQL, Power Automate, Alteryx, UiPath, or similar tools.
Added 19 hours ago
RI
Product Manager (Accounting & ERP)
Remarcable, Inc.
Remote, Canada
- $100,000 to $150,000 CAD / year
- Full-time
- Remote
Proficiency with SQL for data analysis, query writing, and log investigation.
Added 19 hours ago
J
Report Developer - Junior
Joblinxsapp
Toronto, ON
- Full-time
The organization is seeking a Junior Report Developer / Data Engineer to develop, maintain, and optimize enterprise data solutions using Azure cloud technologies.
Added 20 hours ago
CC
Data Engineer
Canadian Cancer Society
Ottawa, ON
- Full-time
Added 20 hours ago
SQ
Manager Forecasting, Workforce Management
Sunlife Québec
Montreal, QC
- Full-time
Strong SQL querying skills and experience working with large databases and complex data relationships
Added 20 hours ago
SE
Maintenance Technician - Afternoon/Evening Shift
Schneider Electric
Victoria, BC
- $29 to $35 CAD / hour
- Full-time
Understanding of LabView, SQL-based systems, Oracle, SharePoint
Added 20 hours ago
CC
Data Engineer
Canadian Cancer Society
Montreal, QC
- Full-time
Added 20 hours ago
CC
Data Engineer
Canadian Cancer Society
Toronto, ON
- Full-time
Added 20 hours ago
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Dotnet Developer
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AB · Edmonton, AB
- Contract
Strong MS SQL Server, SSMS, stored procedures, data modelling, and reporting services
Added 20 hours ago
CC
Data Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Added 20 hours ago
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Data Engineer
Canadian Cancer Society
Halifax, NS
- Full-time
Added 20 hours ago
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Data Engineer
Canadian Cancer Society
Calgary, AB
- Full-time
Added 20 hours ago
Senior Consultant - Risk Consulting - Actuarial
EY
Toronto, ON
Experience with Excel VBA, SQL, Python, R or actuarial modelling software.
Added 20 hours ago
CC
Data Engineer
Canadian Cancer Society
St. John's, NL
- Full-time
Added 20 hours ago
C
Sr. Data Test Coordinator, IT Quality Assurance
CIBC
Toronto, ON
- Full-time
…on Databricks. This role needs understanding of DB queries, SQL, Databricks on Azure from medium to complex level. It’s an asset if you have software GUI automation experience in Java, C#,…

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 6, 2026
Posting language: English
Posted: Nov 6, 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 systems and data, evolve prototypes into secure production implementations, and apply software engineering, evaluation, governance, and documentation 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 applications. Candidates should have hands-on experience with LLMs, GenAI, RAG, AI agents, APIs, cloud AI platforms, and software development practices, plus knowledge of model evaluation, Responsible AI, privacy, and security; a relevant degree or equivalent experience is required.

Skills

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

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