Jobs in Canada

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Added 5 days ago
C
Senior Database Engineer (Snowflake)
Cvent
Fredericton, NB
- Full-time
Cvent is seeking a Senior Database Engineer with deep Snowflake expertise to help design, manage,
Added 5 days ago
C
Senior Site Reliability Engineer (Edge Security)
Cvent
Fredericton, NB
- Full-time
As a Senior SRE on the SRE Security team, you will be a core platform owner. You will own the infrastructure, carry the on-call rotation, handle the requests that gate deploys and customer…
Added 5 days ago
D
Software Developer Intern (Summer 2027)
Dawson
Toronto, ON
- Internship
The Technology & Data team is seeking a Software Developer Intern starting in May 2027 with our Toronto office. As a Software Developer Intern, you'll own real features on production…
Added 5 days ago
D
Software Developer Intern (Winter 2027)
Dawson
Toronto, ON
- Internship
The Technology & Data team is seeking a Software Developer Intern starting in January 2027 with our Toronto office. As a Software Developer Intern, you'll own real features on production…
Added 5 days ago
EB
Senior Bioinformatics Scientist
Ephla Bio
Toronto, ON
- Full-time
Practical programming skills: Strong Python and/or R skills for biological data analysis and visualization. You write maintainable code and use version control, testing, and code review.
Added 5 days ago
GF
Electronics Engineer, Diagnostics & Data Acquisition
General Fusion Inc.
Richmond, BC
- Full-time
General Fusion is seeking a Senior Electronics Engineer to join our Controls & Electronics team. This team designs and supports the data acquisition, instrumentation, and control…
Added 5 days ago
A
Senior Software Engineer, Java - 12 Month Contract
Aviso
Vancouver, BC
- Full-time
We're looking to fill an opening for a Senior Software Engineer to join our Information Technology team.
Added 5 days ago
AW
Senior Software Engineer, Java - 12 Month Contract
Aviso Wealth
Remote, Canada
- Full-time
- Remote
We’re looking to fill an opening for a Senior Software Engineer to join our Information Technology team.
Added 5 days ago
Senior Manager, Data Product Management
Scotiabank
Toronto, ON
The Senior Manager, Data Product Management, has a key role in the Global Wealth Management (GWM) Data Centre of Excellence. Reporting to the Director, Data Product Management, this role is…
Added 5 days ago
MS
Digital Payload Architect
MDA Space
Sainte-Anne-de-Bellevue, QC
- Full-time
…subsystems across multiple satellite programs. This role is a senior technical bridge between customers, prime contractors and MDA’s multidisciplinary payload engineering teams, ensuring…
Added 5 days ago
M
RQ11580 - Software Developer - Senior
Maarut
Toronto, ON
- Contract
Familiarity with Python and libraries like pandas,
Added 5 days ago
M
RQ11860 - Database Administrator - Senior
Maarut
Toronto, ON
- Contract
a Senior DevOps/Cloud DBA at a rate similar to a Senior DevOps/Could
Added 5 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Develop predictive and descriptive analytical models using SAS, Python and SQL in cloud environments.
Added 5 days ago
NB
Senior AI Scientist
National Bank of Canada
Montreal, QC
- Full-time
A career as a Senior AI Scientist on the Model Risk Management team at National Bank means serving as an independent expert in the assessment of advanced artificial intelligence systems.…
Added 5 days ago
FI
Principal Software Engineer - Zynque
Fulfillment IQ
Remote, Canada
- $175,000 to $210,000 CAD / year
- Full-time
- Remote
Location: Hybrid, three days per week, Toronto / Greater Toronto Area (GTA), Ontario, Canada
Added 5 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Draft clear technical narratives and supporting project descriptions for review by senior team members.
Added 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 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 5 days ago
SM
RQ00241 – Software Developer – ETL – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Work Arrangement: Hybrid – 3 Days per Week Onsite

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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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, reusable components, and APIs using GenAI, LLMs, RAG, agentic AI, and machine learning. Integrate solutions with enterprise systems and data, evolve prototypes into secure production implementations, 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 using LLMs, GenAI, RAG, agents, APIs, and cloud platforms. A degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline - or equivalent experience - is requested, along with knowledge of software development practices, model evaluation, security, privacy, and AI governance.

Skills

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

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
Azure OpenAI
Copilot Studio
Power Automate
Visual Studio Code
Databricks
APIs
Prompt Engineering
Model Evaluation
Feature Engineering
Machine Learning Pipelines
Git
Jira
CI/CD
Responsible AI
Data Governance
Cloud-Based AI
Enterprise AI Solutions
Statistics
Software Engineering

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Jobs in Canada