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Added 6 days ago
B
Senior Application Developer/Engineer
Bevertec
Toronto, ON
- Contract
We’re looking for an experienced professional with strong software development, cloud engineering, and DevOps skills to build, deploy, and support enterprise applications.
Added 6 days ago
UC
Data Engineer
UniSysTech Consulting
Toronto, ON · Greater Toronto Area, Canada
- Contract
…scalable data pipelines. In this role, you will leverage strong Python and SQL expertise to extract, transform, and load data from varied sources, ensuring high data quality and supporting…
Added 6 days ago
S
Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Write complex SQL queries with multiple joins to automate and manipulate data extracts
Added 6 days ago
MM
Oliver Wyman - Software Developer - Data & Analytics (DNA) - Montreal
Marsh McLennan
Montreal, QC
- Full-time
· Expérience pratique récente avec Python et, idéalement, avec un autre langage serveur (C#, .NET, Java, Rust ou C++).
Added 6 days ago
T
TD Asset Management Investment Management Intern/Co-op (Winter 2027)
TD
Toronto, ON
- Full-time
Microsoft Access, Python/SQL/Coding skills, financial modelling
Added 6 days ago
LI
Maximo Developer
LanceSoft, Inc.
Calgary, AB
- Contract
Develop automation scripts using Jython/Python to automate business processes.
Added 6 days ago
JG
Playwright QA Specialist
J&M Group
Toronto, ON
- Contract
Advanced SQL and database testing experience.
Added 6 days ago
C
Python Developer
Collabera
Toronto, ON
- $60 to $65 USD / hour
- Contract
Primary Technologies: Python, Databricks, Azure Functions, APIs, Azure SQL Database
Added 6 days ago
H
Machine Learning Engineer
Hays
Toronto, ON
- Contract
This role focuses on model development using Python and PyTorch, with a strong emphasis on ownership, experimentation, and practical impact on experiences used by millions of Canadians…
Added 6 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 7 days ago
UO
Scientific Data Specialist
University of Victoria
Victoria, BC
- Full-time
some experience with relational databases, modelling and simulation, and using query tools such as SQL
Added 7 days ago
SC
Developpeur native IA/Python (Senior)
SII Canada
Montreal, QC
- Full-time
…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…
Added 7 days ago
GS
Developpeur native IA/Python (Senior)
Groupe SII
Montreal, QC
- Full-time
…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…
Added 7 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 7 days ago
RB
Associate Director, Global Risk Analytics
Royal Bank of Canada
Toronto, ON
- Full-time
This includes ensuring that the model's underlying methodologies are appropriate and that they are implemented with integrity, to facilitate the effective management of the bank's market…
Added 7 days ago
S
Data Analyst
Syntrace
Toronto, ON
- Full-time
…the questions our team needs answered. You will work closely with our product and engineering…
Added 7 days ago
W
Machine Learning Scientist I
Wayfair
Toronto, ON
- $132,440 to $145,684 CAD / year
- Full-time
Professional coding expertise in languages like Python and R, proficiency in SQL, and experience with data visualization tools; skilled in using ML frameworks (TensorFlow, PyTorch) and…
Added 7 days ago
TH
Data Analyst
The Hospital for Sick Children
Toronto, ON
- Full-time
…children. In particular, the successful candidate will work with the newly developed GEMINI-Paediatrics data platform, using routinely generated clinical and administrative data from…
Added 7 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 7 days ago
F
Jr. Software Developer
Fujitsu
Montreal, QC
- Full-time
Scripting languages: Python, JavaScript, TypeScript, PowerShell, Batch, SQL
Added 7 days ago
CO
Job ID #32294: Network Analyst II - Datacentre Operations
City Of Hamilton
Hamilton, ON
- Full-time
Internal applicants should apply with your work e-mail address. External applicants are considered only after the internal posting process has been completed. Only applicants chosen for an…
Added 7 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 7 days ago
M
Senior Java Full Stack Developer
Miratech
Toronto, ON
- Full-time
We are looking for a Senior Full Stack Developer to design, build and maintain both front-end interfaces and back-end systems, including APIs, microservices, databases and cloud…
Added 7 days ago
AH
Lead
Alberta Health Services
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
…transforming, and analyzing large and complex datasets using SQL. Strong programming experience in Python and/or R for statistical analysis, data manipulation, automation, and model…
Added 7 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.

SII Canada

Developpeur native IA/Python (Senior)

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

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

Apply About employer

More about this job

Responsibilities

Develop, optimize, integrate, and deploy AI/ML models and solutions for business use cases, including through APIs and microservices. Build MLOps pipelines, validate and improve AI-generated code, document solutions, optimize for latency, cost, and scalability, and share 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 ML/DL frameworks. Candidates should have experience with LLMs, cloud ML platforms, MLOps and CI/CD, 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
RAG
MLOps
Cloud Platforms
Data Engineering
API Development

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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