Jobs in Canada

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Added 1 day ago
PG
Account Executive, Influencer
Publicis Groupe Holdings B.V
Toronto, ON
- $55,000 to $58,000 CAD / year
- Full-time
Own the process: lead strategy, execution, and reporting to deliver measurable impact.
Added 1 day ago
Information Technology (IT) Manager
ARGUS MACHINE CO LTD
Edmonton, AB
Lead technology planning and governance for future ERP replacement in partnership with the ERP Manager and business owners.
Added 1 day ago
Technical Program Manager
Robots and Pencils
Canada
…sit with a client executive in the morning and an engineering lead in the afternoon and make sure both are working toward the same business result. When priorities conflict, or risk shows…
Added 1 day ago
Marketing Advisor – 12-month contract
Canadian Tennis Association
Montréal, QC
…Tennis Canada! A national sport organization with a mission to lead the growth of tennis in Canada and a vision to be a world-leading tennis nation, Tennis Canada seeks to grow…
Added 1 day ago
Director, Global Network Services, Deloitte Global Technology
Deloitte
Toronto, ON
Lead the team in delivering these services, with operational excellence and 24/7 monitoring and support.
Added 1 day ago
H
Software Applications Engineer 4
HP
Vancouver, BC · Mississauga, ON
- Full-time
Added 1 day ago
A
Advisor, Commodity Tax
Aplin
Calgary, AB
- Full-time
Lead commodity tax compliance and recovery across GST/HST, QST and PST, including SOX controls
Added 1 day ago
In Store Bakery - Manager Bakery
Sobeys
Winnipeg, MB
…high-quality products and friendly, professional service. You’ll lead, coach, and develop your team, foster a positive and collaborative work environment, and ensure the department meets…
Added 1 day ago
A
Ingénieur(e) En Amélioration Continue // Continuous Improvement Engineer
Actalent
Montréal, QC
- $41 to $60 CAD / hour
- Contract
Lead continuous improvement projects from idea generation through to implementation and delivery on the production floor, ensuring safety, quality, and efficiency at every stage.
Added 1 day ago
Nurse Practitioner, Community Psychiatry & Mental Health Service
Canadian Mental Health Association
Oakville, ON
Added 1 day ago
RC
Senior Software Developer - ETL
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Software Developer - ETL to lead the technical design, development, and sustainment of scalable, production-grade data pipelines, reusable data…
Added 1 day ago
RC
Senior Product Manager
Randstad Canada
Toronto, ON
- Contract
Strategic AI Ownership: Lead high-visibility enterprise AI, Generative AI, and machine learning product portfolios.
Added 1 day ago
CG
Regional Sales Manager - Western Canada
Canopy Growth Corp
Calgary, AB · Edmonton, AB
- Full-time
We believe the best of this industry is still ahead - and we intend to lead it there. Come join us.
Added 1 day ago
CG
Territory Manager - Durham Region
Canopy Growth Corp
Oshawa, ON
- Full-time
We believe the best of this industry is still ahead - and we intend to lead it there. Come join us.
Added 1 day ago
CG
Territory Manager - Toronto North
Canopy Growth Corp
Toronto, ON · Vaughan, ON
- Full-time
We believe the best of this industry is still ahead - and we intend to lead it there. Come join us.
Added 1 day ago
WM
Manager Of Real Estate - Regional Director
Winners Merchants International, L.P.
Mississauga, ON
- $118,709.6 to $168,709.6 CAD / year
- Full-time
We’re seeking a Manager Of Real Estate – Regional Director to lead the development and execution of TJX Canada’s regional real estate strategy for Central or Eastern Canada markets. In this…
Added 1 day ago
TR
Associate Knowledge Manager
Thomson Reuters Holdings Inc.
Toronto, ON
- Full-time
- Hybrid
Added 1 day ago
Mid-Market Account Executive
Block
Toronto, ON
Partner with Business Development on lead flow while independently driving net-new logo acquisition.
Added 1 day ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the technical design, development, and implementation of enterprise Artificial Intelligence (AI) solutions, Generative AI…
Added 1 day ago
RC
Senior Machine Learning Engineer
Randstad Canada
Toronto, ON
- Contract
Full-Lifecycle Ownership: Lead end-to-end delivery spanning data preprocessing, model training, automated deployment, and continuous monitoring.
Added 1 day ago
RC
Senior Data Science Developer
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Science Developer to lead the development of advanced analytics, predictive models, and machine learning solutions that address critical enterprise…
Added 1 day ago
District Manager (East Region)
TCHC
Toronto, ON
In collaboration with the AGM, participate in the development of and lead the review of performance indicators, identifying those that are below the pre-determined standard and implementing…
Added 1 day ago
GE
Sr Product Management Manager - Product Manager
GEPR Energy Canada Inc
Markham, ON
- Full-time
- Hybrid
Lead global cross-functional teams through influence, providing clear product direction, priorities and decisions.
Added 1 day ago
Manager, Cyber Compliance, Deloitte Global Technology
Deloitte
Toronto, ON
…professionals reach across disciplines and borders to develop and lead global initiatives. We deliver strategic programs and services that unite our…
Added 1 day ago
CG
Territory Manager - Hamilton Niagara
Canopy Growth Corp
Hamilton, ON
- Full-time
We believe the best of this industry is still ahead - and we intend to lead it there. Come join us.

Randstad Canada

Senior Data Science Developer

Toronto, ON, Canada

Contract

Apply on randstad.ca About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Jan 2, 2027
Posting language: English
Posted: Nov 4, 2026

Original job description

We are seeking an experienced Senior Data Science Developer to lead the technical design, development, and implementation of enterprise Artificial Intelligence (AI) solutions, Generative AI applications, and autonomous intelligent agents. In this role, you will accelerate the delivery of strategic AI use cases by creating reusable services, components, APIs, and solution patterns that reduce reliance on one-off implementations. Leveraging advanced Python software engineering, retrieval-augmented generation (RAG), agentic workflows, and the Azure AI/Microsoft Foundry ecosystem, you will build scalable prototypes, transition proofs of concept into hardened production environments, and collaborate closely with cross-functional technical teams to implement secure, ethical, and high-performing AI capabilities.

Location: Toronto, ON (Hybrid – 3 days a week onsite)

Duration: 6-month contract.

Advantages
Modern Agentic & GenAI Stack: Hands-on development utilizing LLMs, RAG, agentic AI, and Azure AI Foundry.

Production-Grade Engineering: Build scalable, reusable services and APIs rather than isolated proofs of concept.

Modern Cloud Ecosystem: Direct exposure to Azure OpenAI, Microsoft Copilot Studio, Azure ML, and Databricks.

Hybrid Flexibility: Balanced hybrid schedule working 3 days a week onsite in Toronto.

Responsibilities
Design, build, test, and deploy production-grade Generative AI applications, intelligent agents, and machine learning solutions for priority business use cases.

Develop modular and reusable AI components, RESTful services, APIs, and architectural patterns that can be scaled across diverse business domains.

Implement advanced AI techniques incorporating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), autonomous agentic workflows, and predictive machine learning models.

Seamlessly integrate AI and machine learning solutions with enterprise data sources, cloud data platforms, backend applications, and business workflows.

Construct functional prototypes and rapid proofs of concept (PoCs), validating feasibility before evolving them into secure, scalable, and observable production deployments.

Apply disciplined software engineering standards, including source code version control (Git), automated testing, CI/CD pipelines, runtime monitoring, and performance optimization.

Evaluate and benchmark AI solution performance, reliability, token usage, precision, and scalability using structured model evaluation methodologies.

Incorporate Responsible AI frameworks, data privacy rules, information security guardrails, and enterprise governance controls throughout the solution lifecycle.

Partner with Product Managers, Data Scientists, Data Engineers, and Data Architects to translate business requirements into working technical solutions.

Author technical documentation, maintain development guidelines, and conduct knowledge transfer sessions to build internal engineering capabilities.

Qualifications
Advanced AI & Python Engineering: Advanced hands-on expertise in Python, robust software engineering practices, LLMs, RAG architectures, agentic AI, APIs, prompt engineering, model evaluation, and production-level AI development (Strictly Required).

Azure AI & Cloud Ecosystem: Strong practical experience with Microsoft Foundry / Azure AI Foundry, Azure Machine Learning, Azure AI services, Azure OpenAI, and cloud-based AI solution engineering (Strictly Required).

Machine Learning & Statistical Foundation: Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, validation techniques, and ML pipelines delivering measurable performance (Strictly Required).

Tooling & Platform Proficiency: Demonstrated proficiency across the core technical stack: Python, SQL, Databricks, Power Automate, VS Code, Git, and Jira (Strictly Required).

Software Engineering Discipline: Demonstrated proficiency with version control, unit/integration testing, containerization, and continuous integration/continuous deployment (CI/CD) pipelines (Strictly Required).

Responsible AI & Governance: Solid understanding of data governance, data privacy, security protocols, and Responsible AI principles applied to model deployment (Strictly Required).

Education & Professional Experience: Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related technical discipline, or equivalent practical experience (Strictly Required).

Nice-to-Have Assets:
Prior experience delivering AI, machine learning, or advanced data science solutions within the public sector.

Relevant cloud or AI certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate).

Practical experience building custom enterprise Copilots using Microsoft Copilot Studio.

Summary
If you're interested in the "Senior Data Science Developer" role based in Toronto, we encourage you to apply online at www.randstad.ca.

Only qualified candidates will be contacted for the next steps. We look forward to hearing from you!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.

This posting is for existing and upcoming vacancies.

Apply on randstad.ca About employer

More about this job

Responsibilities

The Senior Data Science Developer at Randstad Canada will design, build and deploy generative AI applications, agents and machine learning solutions, and turn prototypes into production systems. The role also works with cross-functional teams and writes documentation and runs knowledge transfer.

Requirements

Candidates need advanced Python engineering skills, experience with LLMs, RAG and agentic AI, and hands-on Azure AI work. Strong machine learning and statistics foundations, software engineering discipline, Responsible AI knowledge and a relevant degree or equivalent experience are also required.

Skills

Python
SQL
Databricks
Power Automate
VS Code
Git
Jira
Azure AI Foundry
Azure Machine Learning
Azure OpenAI
Microsoft Copilot Studio
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt engineering
Model evaluation
RESTful APIs
Machine learning
Statistics
Feature engineering
Unit testing
Containerization
CI/CD
Responsible AI
Data governance

Keywords

Senior Data Scientist
AI developer
Generative AI
LLM
RAG
Agentic AI
Python
Azure AI Foundry
Azure Machine Learning
Azure OpenAI
Databricks
Copilot Studio
Machine learning
Prompt engineering
MLOps
Toronto
Contract
Hybrid

Seniority

Senior

Tools

Python
SQL
Databricks
Power Automate
VS Code
Git
Jira
Azure AI Foundry
Azure Machine Learning
Azure OpenAI

Languages

English

Fields of study

Computer Science
Data Science
Engineering
Artificial Intelligence

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Work requirements

Jobs in Canada