Jobs in Canada

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Added 3 days ago
TI
Senior System Analyst
Teckhorizon Inc
Toronto, ON
- Contract
Added 3 days ago
SM
RQ00240 – Product Manager – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
Work Arrangement: Hybrid – 3 Days per Week Onsite
Added 3 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 3 days ago
SM
RQ11717 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Onsite – 5 Days per Week
Added 3 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
Added 3 days ago
SJ
Associate Category Manager
So Jobs
Montreal, QC
- Full-time
Added 3 days ago
SM
Job Title: RQ00393 – Database Admin I
S M Software Solutions Inc
Fredericton, NB
- Internship
Must have 3+ years of Database Administration Experience
Added 3 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 3 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 3 days ago
I-
Business Analytics on payments operations
IFG - International Financial Group
Toronto, ON
- Contract
Our client, one of Canada's leading banks, is looking for a Process Improvement and Business Analytics Consultant to join a high-impact transformation team in the payments space. This role…
Added 3 days ago
L
Senior Python Developer with PySpark and AWS
Luxoft
Toronto, ON
- Full-time
Added 3 days ago
WH
Senior Accountant
Waterloo Hydrogeologic
Waterloo, ON
- Full-time
Added 3 days ago
P
Finance Director
Pollin
Toronto, ON
- Full-time
Added 3 days ago
SM
GOAPRDJP000001055 – Application Analyst – Intermediate
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Onsite Requirement: Three days per week, with availability for onsite meetings when required
Added 3 days ago
N
Data Scientist
neurohire.ai
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
0–1 year of experience in Data Science, Machine Learning, Data Analytics, or a related technical role.
Added 3 days ago
N
Financial Analyst
neurohire.ai
Remote, Canada
- $75,000 to $95,000 CAD / year
- Full-time
- Remote
Master's degree in Finance, Accounting, Economics, Business Administration, Financial Management, Business Analytics, or a related field.
Added 3 days ago
E
Senior Data Analytics & Performance Engineer
Enbridge
Calgary, AB · Edmonton, AB
- Full-time
…financial excellence and innovation. We are seeking a Senior Data Analytics & Performance Engineer to join our…
Added 3 days ago
Marketing Project Manager, National Sport Donor Recruitment Program
Canadian Blood Services
Brampton, ON · Toronto, ON
…Partnerships, Recruitment, Marketing, Communications, Digital, CRM, Analytics, agencies and external partners. The Project Manager will connect these workstreams, manage dependencies and…
Added 3 days ago
DevOps / Cloud Engineer
Capgemini
Toronto, ON
Added 3 days ago
Supportability Technical Lead, Billing, Google Cloud
Google
Waterloo, ON
Added 3 days ago
W
IICS Integration Developer
Wipro
Toronto, ON
- Full-time
Added 3 days ago
O
Business Systems Analyst
Onepoint
Ottawa, ON · Montreal, QC
- Full-time
Added 3 days ago
W
Business Systems Analyst
Wepoint
Ottawa, ON · Montreal, QC
- Full-time
Added 3 days ago
K
Manager, Enterprise Risk Management (Governance, Risk and Compliance Services)
KPMG
ON · Toronto, Ontario
- Full-time
Leveraging AI, automation, data analytics and visualization tools to enhance risk reporting, dashboards, workflows and other ERM activities
Added 3 days ago
PH
Nurse, Clinical Informatics Specialist - BC Cancer - Provincial
Provincial Health Services Authority
BC · British Columbia, Canada
- Full-time

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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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

Design, develop, test, and implement enterprise AI applications, intelligent agents, and reusable components using GenAI, LLMs, RAG, agentic AI, and machine learning. Integrate solutions with enterprise data and workflows, evolve prototypes into secure production systems, and apply software engineering, performance evaluation, Responsible AI, privacy, and governance 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; a relevant degree or equivalent experience is required.

Skills

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

Visa sponsorship

Not detected in the job text

Keywords

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

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Jobs in Canada