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Added 13 mins ago
RC
Management Consulting Director, Technology
RSM Canada
Toronto, ON
- Full-time
This Director will combine strong business development capabilities with deep expertise in Technology Strategy, ERP Strategy, IT Architecture, and complex transformation program leadership.…
Added 13 mins ago
VP, Human Resources, Market Area North and Central America
Metso
Montreal, QC
…the people agenda across North and Central America, enabling business success and shaping Metso's future workforce through leadership, talent, workforce planning, organizational…
Added 1 hour ago
BC
Quality and Patient Safety Consultant
Brant Community Healthcare System
Brantford, ON
- Full-time
Through demonstrated proficiency in quality improvement and business methodologies, education, innovation, and role modeling, the consultant will assist programs to:
Added 1 hour ago
A
Head of Product
Aimhire
Toronto, ON
- Full-time
Our client is a leading Canadian consumer legal services business with millions of monthly visitors and approximately 1 million community members. The company is transforming its digital…
Added 1 hour ago
Director, Performance & Innovation, Health Products
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Build and lead a high-performing team with strengths in performance management, analytics, innovation adoption, and business problem solving.
Added 1 hour ago
OW
Oliver Wyman- Private Capital/Industrials- Engagement Manager
Oliver Wyman Group
Toronto, ON
- Other
Not just intelligence, but creativity too: you’ll be ready to come up with novel ideas to solve our clients’ biggest problems.
Added 1 hour ago
AC
D365 F&O Functional Analyst
Aston Carter
Richmond, BC
- Contract
Maintain and develop Power BI reports and dashboards to support business reporting and analytics needs.
Added 1 hour ago
MM
Manager, Export Liner
MSC Mediterranean Shipping Company
Mississauga, ON
- $75,000 to $84,000 CAD / year
- Full-time
…developments. Leveraging both internal and external market intelligence, the Line Manager develops business plans, forecasting models, and strategic initiatives that support organizational…
Added 1 hour ago
ML
Director, Investor Relations
Maple Leaf Foods Inc
Mississauga, ON
- Full-time
The Director will translate business performance, enterprise strategy and capital allocation priorities into clear, balanced and compelling communications for shareholders, research…
Added 1 hour ago
M
AVP Strategy - Intermediary, Product, Institutional
Manulife
Toronto, ON
- Full-time
…Institutional channels across North America, Asia and Europe. The business operates externally under the Manulife Investment Management brand and brings together distribution, product and…
Added 2 hours ago
KD
Account Manager
Keurig Dr Pepper
Calgary, AB
- $73,900 to $93,500 CAD / year
- Full-time
The person will be responsible for developing a variety of internal and external projects aimed at maximizing business objectives for the team managing West regional account operations.…
Added 2 hours ago
V
Spec, Procurement
Vale
Canada
- Full-time
…end-to-end Procurement and Supply Chain processes to strengthen business performance and operational…
Added 2 hours ago
V
Specialist, Technical - Business Planning Architecture
Vale
Canada
- Full-time
We are seeking a Specialist, Technical – Business Planning Architecture to join our Operating Model team in Toronto, Ontario or Sudbury, Ontario or Saint John’s, Newfoundland.
Added 3 hours ago
M
AVP Retirement & Wealth Strategy
Manulife
Toronto, ON
- Full-time
Our Retirement & Wealth business serves over 6M customers worldwide, is a key contributor to GWAM earnings and is well positioned in all of our key markets.
Added 3 hours ago
PC
Indirect Tax, Recovery Data Analytics
PwC Canada
Vancouver, BC
- Full-time
…affairs, while acting as a strategic consultant related to business analysis, managing indirect taxes, dispute resolution, and global enterprise tax…
Added 3 hours ago
I
Senior DevOps Engineer
iCOUNTER
Remote, Canada
- $136,000 to $170,000 CAD / year
- Full-time
- Remote
Our AI-native Counter Threat Operating System (CTOS™) combines threat intelligence, risk determination, and operational response to help organizations identify and act on threats involving…
Added 3 hours ago
PC
Digital Assurance & Transparency Senior Associate
Pwc Canada
Vancouver, BC
- Full-time
…around the financial reporting process, including financial business process and Information Technology management…
Added 3 hours ago
SQ
Senior Consultant, Canada Strategy & Enablement
Sunlife Québec
Montreal, QC
- Full-time
…solutions to individual and corporate clients. The Canadian Business is Sunlife's largest, with over $1B in earnings (approximately 1/3 of Sunlife Financial globally). We are a market…
Added 4 hours ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Vancouver, BC
- Full-time
Experience working in Agile environments and work in partnership with business, analytics, data engineering, security, and technology teams.
Added 4 hours ago
V
Staff Information Security Engineer - Threat Detection & Response
Visier
Remote, Canada
- Full-time
- Remote
Visier is the global leader in Workforce Intelligence that powers every people decision. We bring Workforce AI to life for HR departments through our award-winning, agentic AI technology by…
Added 4 hours ago
V
Privacy and AI Program Manager
Visier
Remote, Canada
- Full-time
- Remote
Visier is the global leader in Workforce Intelligence that powers every people decision. We bring Workforce AI to life for HR departments through our award-winning, agentic AI technology by…
Added 4 hours ago
LI
Director of Enterprise Sales (New Business)
Loopio Inc.
Remote, Canada
- $288,000 to $324,000 CAD / year
- Full-time
- Remote
Embrace Data: Make data-driven decisions the standard across the sales organization, using analytics to identify opportunities and mitigate risks.
Added 4 hours ago
OW
Oliver Wyman- Private Capital/Industrials- Engagement Manager
Oliver Wyman
Toronto, ON
- Full-time
Not just intelligence, but creativity too: you’ll be ready to come up with novel ideas to solve our clients’ biggest problems.
Added 4 hours ago
C
Vice President, Finance
Confidential
Vancouver, BC
- Full-time
…accessibility of financial and operational data, and helping business leaders leverage analytics to make better decisions. The successful candidate will also bring an active interest in…
Added 4 hours ago
UO
Data Analyst
University of Victoria
Victoria, BC
- Full-time
Proficiency in Microsoft Excel (e.g., pivot tables, formulas, data visualization) and other reporting or business intelligence tools

SII Canada

Développeur Python IA (Senior)

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English · French
Posted: Nov 3, 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 through APIs and microservices. Implement MLOps pipelines, validate and improve AI-generated code, document solutions, optimize performance and costs, 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 LLM techniques such as fine-tuning, prompt engineering, RAG, and agents. Candidates should also have experience with ML frameworks, cloud platforms, MLOps and CI/CD, data engineering, databases, APIs, containers, testing, and version control.

Skills

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

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