Jobs in Canada

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Added 20 days ago
H
Data & Analytics Architect
HRConnects
Toronto, ON
- Full-time
Hands-on experience with AWS data services, Databricks, Delta Lake, Python, PySpark, and SQL.
Added 20 days ago
UO
Scientific Data Specialist
University of Victoria
Victoria, BC
- Full-time
practical experience in Python, Matlab or experience developing data products using computational and data analysis/visualization tools in one or more of the following scientific…
Added 20 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and…
Added 20 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and…
Added 20 days ago
R
Digital Transformation and Technology Business Analyst
Raise
Calgary, AB
- Full-time
Familiarity with SQL, Python, Jupyter Notebooks, or other advanced data-analysis methods.
Added 20 days ago
RB
Associate Director, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
Data management and analysis skills (SQL and Excel required)
Added 20 days ago
S
Data Analyst
Syntrace
Toronto, ON
- Full-time
Syntrace builds conversational knowledge for institutional investors. We capture, organize and synthesize private conversations into source-backed knowledge a firm can build on.
Added 20 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
This is a Toronto based opportunity with a 3 day in office expectation (Tuesday - Thursday) with 2 days remote (Monday and Friday)
Added 20 days ago
TH
Data Analyst
The Hospital for Sick Children
Toronto, ON
- Full-time
Apply common statistical modelling approaches to address project objectives using R and/or Python libraries, such as linear and logistic regression, survival analysis, risk adjustment,…
Added 20 days ago
PL
Actuary, Pricing
Pacific Life
Toronto, ON
- Full-time
Proficiency in actuarial modelling software (e.g Axis, Tyche, Prophet) and data analytics tools (e.g., SQL, Python, R, Tableau, Excel/VBA).
Added 20 days ago
F
Jr. Software Developer
Fujitsu
Montreal, QC
- Full-time
The Junior Software Developer is expected to participate in a wide range of projects where this expertise is required. They will be expected to include user interaction, software coding and…
Added 20 days ago
CO
Job ID #32294: Network Analyst II - Datacentre Operations
City Of Hamilton
Hamilton, ON
- Full-time
Contribute to the City of Hamilton, one of Canada’s largest cities - home to a diverse and strong economy, an active and inclusive community, a robust cultural and dining scene, hundreds of…
Added 20 days ago
MI
Business Intelligence Specialist
Maarut Inc
Toronto, ON
- Contract
Oracle, Python, AWS Glue Python Shell, and AWS DMS experience, including complex SQL, source-data analysis, extraction, transformation, incremental loading, validation, reconciliation, and…
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
AH
Lead
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…quantitative field; equivalent combinations of education, training, and experience may be considered. Five or more years of experience in healthcare analytics, data science, business…
Added 20 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $112,006 to $149,341 CAD / year
- Full-time
Export Development Canada operates in a hybrid work environment, with a current requirement of three in-office days per week
Added 20 days ago
R
Associate Director, Global Risk Analytics
RBC
Toronto, ON
- Full-time
Data management and analysis skills (SQL and Excel required)
Added 20 days ago
TS
Analyst – Front Office Application Engineer
TD Securities
Toronto, ON
- Full-time
Strong programming skills in one or more of Golang, Python, C++, JavaScript/TypeScript, or SQL.
Added 20 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 20 days ago
MA
Tech Lead - Snowflake & DBT
Mitra AI
Canada
- Contract
…Data Engineer with deep expertise in Snowflake, DBT, advanced SQL, and modern data engineering practices to support enterprise data modernization…
Added 20 days ago
TT
Data Engineer (Basketball Strategy)
Toronto Tempo
Toronto, ON
- Full-time
Must have a valid passport to travel within Canada and globally
Added 20 days ago
M
Senior Java Developer (with LLM expertise)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 20 days ago
M
Senior Data Architect
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office

Groupe SII

Developpeur native IA/Python (Senior)

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Nov 21, 2026
Posting language: English · French
Posted: Oct 22, 2026

Original job description

English section of this bilingual listing.

Context

Our client is a major international financial services organization providing services to asset managers and institutional investors.

As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and optimization of artificial intelligence solutions addressing various business use cases.

You will work in an Agile environment and collaborate closely with Data Scientists, Solution Architects, business stakeholders and IT teams. You will play a key role in the industrialization, integration and production deployment of AI/ML solutions.

Your Responsibilities

Participate in workshops with IT teams, business stakeholders and Data Scientists
Develop and optimize AI/ML models for business use cases
Integrate and deploy models into production through APIs and microservices
Apply vibe coding approaches and Generative AI tools such as GitHub Copilot, Cursor, Claude and ChatGPT to accelerate development while maintaining high quality standards
Break down complex problems into clear instructions and effective prompts for AI tools
Validate, refactor and optimize AI-generated code
Implement MLOps pipelines covering model training, versioning and monitoring
Automate model testing and validation for performance, robustness and bias
Produce detailed technical documentation covering code, models, APIs and reusable prompts
Optimize solutions for latency, cost and scalability
Conduct technology watch and provide recommendations on emerging AI/ML approaches and technologies
Share vibe-coding and AI-assisted development best practices across the team

Your Profile

At least 5 years of experience in Python development with a strong focus on AI/ML
Demonstrated experience in vibe coding and productive use of Generative AI tools such as GitHub Copilot, Cursor, Claude and ChatGPT
Expertise with ML/DL frameworks and libraries including TensorFlow, PyTorch, Scikit-learn, Hugging Face and LangChain
Solid experience with LLMs, including fine-tuning, prompt engineering, RAG and agents
Proficiency with Cloud platforms such as AWS SageMaker, Azure ML or GCP Vertex AI
Knowledge of MLOps technologies and CI/CD pipelines for AI models
Experience in data engineering, including preprocessing, feature engineering and data pipelines
Proficiency with SQL, NoSQL and Vector DBs
Experience developing APIs using FastAPI, Flask and REST
Good knowledge of containerization with Docker and Kubernetes
Strong testing and code-quality skills using pytest, unittest and code coverage
Proficiency with version-control tools such as Git, GitLab or GitHub
Experience in Computer Vision and/or NLP is considered an asset

Experience levels:

Strong critical thinking when reviewing AI-generated code and solutions
Ability to break down complex problems and design effective prompts
Intellectual curiosity and interest in emerging AI/ML and Generative AI technologies
Pragmatic approach and ability to balance development speed with quality
Rigour in code validation, refactoring and optimization
Autonomy and ability to proactively propose solutions
Excellent interpersonal and collaboration skills
Agile and adaptable mindset
Ability and willingness to share knowledge and best practices with the team

Working arrangements: Full-time on-site work for the first six months, followed by a hybrid arrangement involving one day of remote working per week.

Read the full bilingual original

Contexte

Notre client est un acteur international majeur du secteur des services financiers, spécialisé notamment dans les services aux gestionnaires d’actifs et aux investisseurs institutionnels.

Dans le cadre de ses initiatives en intelligence artificielle, nous recherchons une personne expérimentée en développement Python, AI/ML et Generative AI afin de participer à la conception, au développement, à l’intégration et à l’optimisation de solutions d’intelligence artificielle répondant à différents cas d’usage métier.

Tu évolueras dans un environnement Agile et collaboreras étroitement avec des Data Scientists, Solution Architects ainsi qu’avec différentes équipes métier et TI. Tu joueras un rôle clé dans l’industrialisation, l’intégration et le déploiement en production de solutions AI/ML.

Tes Responsabilités

Participer aux ateliers avec les équipes TI, métier et les Data Scientists
Développer et optimiser des modèles AI/ML répondant à différents cas d’usage métier
Intégrer et déployer les modèles en production à travers des APIs et des microservices
Utiliser les approches de vibe coding et les outils d’IA générative tels que GitHub Copilot, Cursor, Claude et ChatGPT afin d’accélérer le développement tout en maintenant des standards élevés de qualité
Décomposer des problématiques complexes en instructions et prompts efficaces pour les outils d’IA
Valider, refactoriser et optimiser le code généré avec l’assistance de l’IA
Mettre en œuvre des pipelines MLOps couvrant notamment l’entraînement, le versionnement et le monitoring des modèles
Automatiser les tests et la validation des modèles en matière de performance, robustesse et biais
Produire une documentation technique détaillée portant sur le code, les modèles, les APIs et les prompts réutilisables
Optimiser les solutions en matière de latence, coûts et scalabilité
Effectuer une veille technologique et formuler des recommandations sur les nouvelles approches et technologies AI/ML
Partager les bonnes pratiques de vibe coding et de développement assisté par IA au sein des équipes

Ton Profil

Minimum de 5 années d’expérience en développement Python, avec une forte orientation AI/ML
Expérience démontrée en vibe coding et dans l’utilisation productive d’outils d’IA générative tels que GitHub Copilot, Cursor, Claude et ChatGPT
Expertise avec les frameworks et librairies ML/DL tels que TensorFlow, PyTorch, Scikit-learn, Hugging Face et LangChain
Solide expérience avec les LLMs : fine-tuning, prompt engineering, RAG et agents
Maîtrise des plateformes Cloud telles qu’AWS SageMaker, Azure ML ou GCP Vertex AI
Bonne connaissance des technologies MLOps et des pipelines CI/CD appliqués aux modèles d’intelligence artificielle
Expérience en data engineering : preprocessing, feature engineering et data pipelines
Maîtrise des bases de données SQL, NoSQL et Vector DBs
Expérience dans le développement d’APIs avec FastAPI, Flask et REST
Bonne connaissance de la conteneurisation avec Docker et Kubernetes
Solides compétences en tests et qualité du code avec pytest, unittest et code coverage
Maîtrise des outils de gestion de versions tels que Git, GitLab ou GitHub
Une expérience en Computer Vision et/ou NLP constitue un atout

Expérience Et Savoir-faire

Fort esprit critique face au code et aux solutions générés par l’intelligence artificielle
Capacité à décomposer des problématiques complexes et à concevoir des prompts efficaces
Curiosité intellectuelle et intérêt marqué pour les évolutions de l’AI/ML et de la Generative AI
Pragmatisme et capacité à trouver le juste équilibre entre rapidité de développement et qualité
Rigueur dans la validation, le refactoring et l’optimisation du code
Autonomie et capacité à être force de proposition
Excellentes aptitudes relationnelles et capacité à travailler de manière collaborative
Esprit Agile, capacité d’adaptation et volonté de partager les connaissances et les bonnes pratiques

Modèle travail : Présence sur site à temps plein pendant les 6 premiers mois, puis formule hybride correspondant à 1 jour de télétravail par semaine.

____________________________________________________________________________________________________________

Context

Our client is a major international financial services organization providing services to asset managers and institutional investors.

As part of its artificial intelligence initiatives, we are looking for an experienced Python, AI/ML and Generative AI professional to contribute to the design, development, integration and optimization of artificial intelligence solutions addressing various business use cases.

You will work in an Agile environment and collaborate closely with Data Scientists, Solution Architects, business stakeholders and IT teams. You will play a key role in the industrialization, integration and production deployment of AI/ML solutions.

Your Responsibilities

Participate in workshops with IT teams, business stakeholders and Data Scientists
Develop and optimize AI/ML models for business use cases
Integrate and deploy models into production through APIs and microservices
Apply vibe coding approaches and Generative AI tools such as GitHub Copilot, Cursor, Claude and ChatGPT to accelerate development while maintaining high quality standards
Break down complex problems into clear instructions and effective prompts for AI tools
Validate, refactor and optimize AI-generated code
Implement MLOps pipelines covering model training, versioning and monitoring
Automate model testing and validation for performance, robustness and bias
Produce detailed technical documentation covering code, models, APIs and reusable prompts
Optimize solutions for latency, cost and scalability
Conduct technology watch and provide recommendations on emerging AI/ML approaches and technologies
Share vibe-coding and AI-assisted development best practices across the team

Your Profile

At least 5 years of experience in Python development with a strong focus on AI/ML
Demonstrated experience in vibe coding and productive use of Generative AI tools such as GitHub Copilot, Cursor, Claude and ChatGPT
Expertise with ML/DL frameworks and libraries including TensorFlow, PyTorch, Scikit-learn, Hugging Face and LangChain
Solid experience with LLMs, including fine-tuning, prompt engineering, RAG and agents
Proficiency with Cloud platforms such as AWS SageMaker, Azure ML or GCP Vertex AI
Knowledge of MLOps technologies and CI/CD pipelines for AI models
Experience in data engineering, including preprocessing, feature engineering and data pipelines
Proficiency with SQL, NoSQL and Vector DBs
Experience developing APIs using FastAPI, Flask and REST
Good knowledge of containerization with Docker and Kubernetes
Strong testing and code-quality skills using pytest, unittest and code coverage
Proficiency with version-control tools such as Git, GitLab or GitHub
Experience in Computer Vision and/or NLP is considered an asset

Experience levels:

Strong critical thinking when reviewing AI-generated code and solutions
Ability to break down complex problems and design effective prompts
Intellectual curiosity and interest in emerging AI/ML and Generative AI technologies
Pragmatic approach and ability to balance development speed with quality
Rigour in code validation, refactoring and optimization
Autonomy and ability to proactively propose solutions
Excellent interpersonal and collaboration skills
Agile and adaptable mindset
Ability and willingness to share knowledge and best practices with the team

Working arrangements: Full-time on-site work for the first six months, followed by a hybrid arrangement involving one day of remote working per week.

Partenaire technologique de grandes entreprises depuis 1979, le Groupe SII est au cœur de l'économie de l'innovation, avec 16 000 employés, une présence internationale dans 20 pays et un chiffre d'affaires dépassant 1,621 milliard de dollars canadiens.

SII Canada offre à ses clients une expertise technique de pointe dans les domaines du développement d'applications, du web et du mobile, de la cybersécurité et du cloud computing. Nous fournissons également des services d'ingénierie, notamment pour les systèmes embarqués dans divers secteurs industriels. Notre ambition est de faire progresser les systèmes d'information et de contribuer à la création des produits et services de demain pour nos clients.

De plus, l'inclusion est au cœur de notre culture d'entreprise. SII Canada s'engage à offrir un environnement de travail équitable et respectueux qui favorise la diversité et l'égalité des chances

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More about this job

Responsibilities

Develop, optimize, integrate, and deploy AI/ML models and solutions for business use cases, including production APIs and microservices. Build MLOps pipelines, validate and improve AI-generated code, automate model testing, document solutions, and advise teams on emerging technologies and AI-assisted development practices.

Requirements

Requires at least five years of Python development experience focused on AI/ML, along with practical experience using generative AI coding tools and LLM techniques such as fine-tuning, prompt engineering, RAG, and agents. Candidates should also have experience with ML frameworks, cloud platforms, MLOps, data engineering, databases, APIs, containers, testing, and version control.

Skills

Python
AI/ML
Generative AI
Vibe Coding
TensorFlow
PyTorch
Scikit-Learn
Hugging Face
LangChain
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
MLOps
Cloud Platforms
FastAPI
Docker

Visa sponsorship

Not detected in the job text

Keywords

Python
Artificial Intelligence
Machine Learning
Generative AI
Vibe Coding
GitHub Copilot
Cursor
Claude
ChatGPT
TensorFlow
PyTorch
Scikit-Learn
Hugging Face
LangChain
Large Language Models
Fine-Tuning
Prompt Engineering
Retrieval-Augmented Generation
AI Agents
AWS SageMaker
Azure Machine Learning
Google Cloud Vertex AI
MLOps
CI/CD
Data Engineering
Feature Engineering
SQL
NoSQL
Vector Databases
FastAPI

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Jobs in Canada