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Added 1 day ago
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Principal Cloud & AI Apps Solution Engineer
Microsoft
Toronto, ON
- Full-time
…orchestrate expertise across Business Applications, Security, Cloud & AI Platform, Data, engineering, partners, and the broader field, and bring the best of Microsoft together around…
Added 1 day ago
Project Manager, Epic Cloud Infrastructure, Information Services – Temporary Full-Time (1.0) (until June 2028)
CHEO
Ottawa, ON
The Project Manager, Epic Cloud Infrastructure, is responsible for planning, coordinating, and delivering the migration of the KHA-hosted Epic environment from on-premises infrastructure to…
Added 1 day ago
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AI Developer
BMO
Toronto, ON · BMOPLACE
- Full-time
Develops scalable and accessible business cloud applications. Focuses on the technical design, development, enhancement, testing, debugging and maintenance of Cloud applications and…
Added 1 day ago
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Senior Manager-PM Cloud Development
BMO
Toronto, ON · BMOPLACE
- Full-time
These platforms are built on a modern technology stack including cloud-native services (AWS), API management (IBM API Connect), event streaming (Kafka), and distributed data platforms…
Added 1 day ago
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Senior Platform Engineer
BGIS
Toronto, ON
- Full-time
The role requires strong practical engineering capability across modern .NET, Angular, TypeScript, cloud-native development, APIs, identity and access management, data access, messaging,…
Added 1 day ago
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Project Manager, Epic Cloud Infrastructure, Information Services – Temporary Full-Time
CHEO
Ottawa, ON
- $52.93 to $62.27 CAD / hour
- Full-time
- Temporary
The Project Manager, Epic Cloud Infrastructure, is responsible for planning, coordinating, and delivering the migration of the KHA-hosted Epic environment from on-premises infrastructure to…
Added 1 day ago
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Backend Engineer, Data Engineering
High Tech Genesis
Ottawa, ON
- Contract
Experience with cloud-based data and backend infrastructure.
Added 1 day ago
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Sr. Developer - IBM Tririga
HRConnects
Vancouver, BC
- Full-time
Join Our Team as a Sr. Developer – IBM Tririga
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Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Montreal, QC
- Full-time
…des plateformes embarquées, en périphérie (edge) et dans le cloud. Pour soutenir ces initiatives, nous avons bâti une infrastructure infonuagique robuste permettant l'acquisition, le…
Added 1 day ago
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Chef d’équipe / Team Lead, Machine Learning & Computer Vision
Genetec
Remote, Canada
- Full-time
- Remote
…des plateformes embarquées, en périphérie (edge) et dans le cloud. Pour soutenir ces initiatives, nous avons bâti une infrastructure infonuagique robuste permettant l’acquisition, le…
Added 1 day ago
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Senior Security Software Engineer/Developer
Vecima Networks Inc.
Canada
- Full-time
…of connectivity. Through broadband access, content delivery, cloud-native software, automation, and AI-enabled solutions, Vecima helps service providers modernize cable and fiber networks,…
Added 1 day ago
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Mechatronics Lab Engineering Intern (January - August 2027)
Rivian and Volkswagen Group Technologies
Vancouver, BC
- $30 to $33.75 CAD / hour
- Internship
…next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the…
Added 1 day ago
Technical Account Manager, CANPS
Amazon
Toronto, ON
…sizes including Federal, Healthcare, municipal and Energy, Big Data, and more gain the best value and service from AWS? At AWS Enterprise Support we’re looking for a Technical Account…
Added 1 day ago
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Senior Salesforce Business analyst
HCLTech
Canada
- Full-time
…Quote-to-Order (Q2O), Account & Contact Management, Salesforce Sales Cloud, and integrations with SAP for Customer Master, Product Master, and Pricing data management. Key Responsibilities…
Added 1 day ago
IS
Sr. Python Developer
Iris Software Inc.
Toronto, ON
- Full-time
Iris's direct client, one of the Top 5 Bank in Canada, is looking to hire a Sr. Angular Developer (Mobile App Development) for a long term opportunity at Remote.
Added 1 day ago
BI
Oracle Cloud PPM Functional Consultant
BURGEON IT SERVICES
Montreal, QC
- Contract
Good Knowledge about oracle cloud strategy on handling Data Conversion/Migrations, Inbound/Outbound interfaces and Reports with 3party applications.
Added 1 day ago
IS
MLOPS/AI Lead
Iris Software Inc.
Toronto, ON
- Contract
Require a strong blend of technical depth, system design and leadership and management skills and apply these principles to building out an evolving ML / AI platform on cloud.
Added 1 day ago
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DevOps Platform Engineer
Lorven Technologies Inc.
Montreal, QC
- Contract
Deploy, configure, and support Alfresco ECM platforms in private cloud environments.
Added 1 day ago
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Business Development Representative
Parallels
Canada
- Full-time
Managing activity and opportunity data accurately in Salesforce.
Added 1 day ago
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Data Architect - 12 month contract
Euna Solutions
ON · Oakville, Ontario
- Contract
Euna Solutions is building a modern data foundation, and we need the architect who will define it. You'll set the reference architecture, engineering patterns, and governance posture for an…
Added 1 day ago
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Senior Python Engineer
Collabera
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Cloud & DevOps: Hands-on cloud development experience (AWS preferred), CI/CD pipelines, and unit/integration testing.
Added 1 day ago
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Machine Learning Engineer
Hays
Toronto, ON
- Contract
The role involves working across the ML lifecycle, including data analysis, feature preparation, experimentation, training, and evaluation.
Added 1 day 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 1 day 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 1 day ago
BI
Oracle Cloud PPM Functional Consultant
BURGEON IT SERVICES
Montreal, QC
- Contract
Good Knowledge about oracle cloud strategy on handling Data Conversion/Migrations, Inbound/Outbound interfaces and Reports with 3party applications.

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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