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Added 3 days ago
CT
Senior ML/AI Engineer, Advanced Analytics & Modelling - Customer Intelligence Platforms
Canadian Tire Corporation
Toronto, ON
- Full-time
…strategic customer intelligence platforms. The platform combines machine learning, generative AI and large-scale transaction data to identify customer shopping missions and behavioural…
Added 3 days ago
GM
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft Montreal
Montreal, QC
- Full-time
Gameloft Montréal recherche un(e) Analyste de données senior pour rejoindre l'équipe qui travaille sur Disney Dreamlight Valley, un jeu hybride de simulation de vie et d'aventure…
Added 3 days ago
Senior Forward Deployed Engineer (Gemini Enterprise)
Welcome to the Jungle
Montreal, QC
Artefact is looking for a Senior Deployed AI Engineer specialized in Gemini Enterprise and the Google AI stack: an engineer who works embedded with our clients and takes AI products from…
Added 3 days ago
LA
Senior Analytics Engineer
Level Access
Canada
- Full-time
Enable predictive analytics. Supply governed revenue, contract and subscription features to machine learning models, alerts and AI agents.
Added 3 days ago
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Senior Data Scientist (Applied ML) - Canada
NerdWallet
Remote, Canada
- $161,000 to $243,000 CAD / year
- Full-time
- Remote
We’re growing, and we’re looking for a Senior Data Scientist (Applied ML) to join us as a foundational member of our new team. You’ll help shape and advance our machine learning…
Added 3 days ago
G
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft
Montreal, QC
- Full-time
Gameloft Montréal recherche un(e) Analyste de données senior pour rejoindre l'équipe qui travaille sur Disney Dreamlight Valley, un jeu hybride de simulation de vie et d'aventure…
Added 3 days ago
Bureau de la transformation numérique / Digital Transformation Office - Responsable de l’IA / AI Lead
Jam
QC · Baie D'urfe, QC
Connaissance des outils analytiques, notamment l’apprentissage automatique (machine learning), la visualisation de données et les plateformes de données infonuagiques.
Added 3 days ago
Senior AI Platform Engineer
Scotiabank
Toronto, ON
The Senior AI Platform Software Engineer will lead the design, development, and operation of scalable software platforms that enable enterprise teams to build, deploy, monitor, and govern…
Added 3 days ago
SI
Senior Product Manager
Spruce InfoTech Inc.
Toronto, ON
- Contract
Strong working knowledge of Azure Machine Learning, Microsoft Foundry/Azure AI Foundry, LLMs, RAG, machine learning, analytics, and enterprise data platforms, including an understanding of…
Added 3 days ago
NB
Senior Data Scientist
National Bank of Canada
Montreal, QC
- Full-time
Develop, maintain and optimize statistical and machine learning models aimed at improving fraud prevention and detection.
Added 3 days ago
GM
[Disney Dreamlight Valley PC/Console] Analyste de données sénior - Senior Data Analyst
Gameloft Montreal
Montreal, QC
- Full-time
Gameloft Montréal recherche un(e) Analyste de données senior pour rejoindre l'équipe qui travaille sur Disney Dreamlight Valley, un jeu hybride de simulation de vie et d'aventure…
Added 3 days ago
RB
Manager, AML Model Testing
Royal Bank of Canada
Toronto, ON
- Full-time
Familiarity with machine learning or data science techniques.
Added 3 days ago
UO
Scientific Assistant
University of Victoria
Victoria, BC
- Full-time
…technical staff, such as the Manager of Laboratories (ML), Senior Scientific Assistants (SSAs), and Scientific Assistants (SAs), as needed for the day-to-day operation of the unit. This…
Added 3 days ago
C
Technical Product Manager
CirrusLabs
Mississauga, ON
- Contract
Added 3 days ago
AT
Senior Data Scientist
Adoc Talent Management
Remote, Canada
- Full-time
- Remote
Architect, validate, and launch full-stack machine learning, data engineering, and AI production systems
Added 3 days ago
Senior Application Developer (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
As a Senior Application Developer within the Citizen and Business Services team, you will lead the design, development, modernization, and support of enterprise-grade applications and…
Added 3 days ago
CI
Senior Data Analytical Specialist / Scientist - Contract
Compugen Inc
Toronto, ON
- Contract
Position Overview: We are seeking an experienced Senior Data Analytical Specialist/Scientist to design, develop, and implement advanced analytics, predictive models, and machine learning…
Added 3 days ago
CI
Senior Data Science Developer - Contract
Compugen Inc
Toronto, ON
- Contract
Position Overview: We are seeking an experienced Senior Data Science Developer to design, develop, and implement enterprise-level Artificial Intelligence (AI) solutions, including…
Added 3 days ago
FI
Senior Data Science Developer
Flexstaf I.T. Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
The Senior Data Analytical Specialist/Scientist will develop advanced analytics, predictive models, and AI-driven insights to address priority business opportunities. The role will apply…
Added 3 days ago
QA
Data Engineer II - QuantumBlack, AI by McKinsey
QuantumBlack, AI by McKinsey
Toronto, ON
- Full-time
You will design and build the scalable, reproducible data components essential for machine learning, agentic, and autonomous AI systems. You’ll assess data landscapes, apply data quality…
Added 3 days ago
EN
Program Manager
Extreme Networks
Toronto, ON
- Full-time
Added 3 days ago
AS
Fixed Income Risk System Developer
Axelon Services Corporation
Montreal, QC
- $65.52 CAD / hour
- Other
…end-of-day risks, PnL (Profit and Loss), and market scenarios to senior management, trading desks, controllers, and market risk…
Added 3 days ago
L
Principal AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
…operates and delivers value. You will leverage deep expertise in machine learning systems, generative AI, MLOps , and platform architecture to shape company-wide technical strategy and…
Added 3 days ago
MP
Senior Security Analyst
Municipal Property Assessment Corporation
Pickering, ON
- Full-time
…cutting-edge cloud computing, advanced analytics and predictive and machine learning…
Added 3 days ago
S
Medical Director Oncology
Sanofi
Toronto, ON
- Full-time
The Medical Director, Oncology is a senior medical leader within the Sanofi Specialty Care Canada Medical Affairs team. This role is the primary Canadian medical expert and scientific voice…

Compugen Inc

Senior Data Science Developer - Contract

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

About Compugen Compugen is Canada's largest privately-owned Technology Ally. To innovate industries, transform businesses, connect communities, and drive meaningful change, we must think bigger, reach broader, and act bolder. Through knowledge, curiosity, and collaboration, Compugen helps organizations delivering experience by design. This is what it means to be human-centered and technology-enabled.

Dreaming, designing, and delivering isn't just a mantra for us - it's a way of life. We believe that technology is the conduit, but our people – they are the connection that truly makes the magic happen!

Our Culture We are a human-centered culture where we prioritize your well-being and are invested in helping you reach your fullest potential. We're not only focused on achieving our goals - we're dedicated to helping you achieve yours.

If you're relentlessly curious, driven to make a difference, and collaborative at the core, then you belong with us.

Position Overview: We are seeking an experienced Senior Data Science Developer to design, develop, and implement enterprise-level Artificial Intelligence (AI) solutions, including Generative AI (GenAI) applications, intelligent agents, and reusable AI components.

The successful candidate will be responsible for developing scalable, production-ready AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and machine learning technologies. This role will focus on accelerating the delivery of priority AI initiatives while establishing reusable frameworks, services, and development standards that support long-term enterprise AI capabilities.

The ideal candidate will bring strong hands-on expertise in Python, Microsoft Azure AI technologies, software engineering, and machine learning, with the ability to translate complex business requirements into secure, reliable, and high-performing AI solutions. Key Responsibilities:

Design, develop, test, and implement Generative AI applications, intelligent agents, and AI-enabled solutions to address complex business requirements.
Develop reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple enterprise applications.
Build and integrate solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, and machine learning techniques.
Develop and deploy AI solutions using Microsoft Azure technologies, including Azure AI Foundry, Azure Machine Learning, Azure OpenAI, and Azure AI Services.
Design and implement AI agents and automated business workflows using Microsoft Copilot Studio, Power Automate, and related technologies.
Integrate AI solutions with enterprise data sources, applications, APIs, and business processes.
Develop prototypes and proofs of concept, transitioning successful solutions into secure, scalable, production-ready applications.
Design and implement machine learning models using classification, regression, clustering, feature engineering, and model evaluation techniques.
Develop and optimize machine learning pipelines to support model training, validation, deployment, and performance monitoring.
Apply prompt engineering techniques to optimize LLM outputs, improve accuracy, and enhance AI application performance.
Evaluate AI models and applications for accuracy, reliability, scalability, and performance, implementing continuous improvements.
Apply software engineering best practices, including version control, automated testing, CI/CD, documentation, and performance optimization.
Collaborate with Product Managers, Data Scientists, Data Engineers, Data Architects, and business stakeholders to translate requirements into technical solutions.
Incorporate Responsible AI principles, data privacy, security, and governance requirements throughout the development lifecycle.
Contribute to enterprise AI development standards, reusable technical frameworks, solution documentation, and knowledge transfer initiatives.

Skills & Qualifications:

Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent professional experience.
Extensive hands-on experience in AI development, machine learning, data science, or enterprise software engineering.
Advanced programming expertise in Python and SQL, with demonstrated experience developing production-quality applications.
Strong hands-on experience developing Generative AI solutions using LLMs, RAG architectures, agentic AI, and prompt engineering techniques.
Demonstrated experience designing, developing, and deploying production-ready AI applications, intelligent agents, and reusable APIs.
Strong hands-on experience with Microsoft Azure AI technologies, including Azure AI Foundry (Microsoft Foundry), Azure Machine Learning, Azure OpenAI, and Azure AI Services.
Experience developing AI-enabled workflows and intelligent automation solutions using Microsoft Copilot Studio and Power Automate.
Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation, and ML pipelines.
Experience developing and evaluating machine learning solutions that achieve measurable performance outcomes.
Experience integrating AI applications with enterprise systems, cloud platforms, APIs, and data environments.
Knowledge of Databricks and cloud-based data processing and analytics environments.
Proficiency with software development tools and practices, including Visual Studio Code, Git, Jira, CI/CD pipelines, automated testing, and monitoring.
Strong understanding of AI model evaluation, prompt optimization, application performance, and production reliability.
Knowledge of Responsible AI principles, security, privacy, and enterprise data governance requirements.
Strong analytical, troubleshooting, and problem-solving skills, with the ability to translate business objectives into technical solutions.
Excellent communication, stakeholder engagement, and collaboration skills, with the ability to work effectively across multidisciplinary teams.
Proven ability to manage competing priorities, work independently, and deliver high-quality solutions within established timelines.

Equity Statement At Compugen, we are committed to diversity, equity and inclusion. We actively recruit from all groups, including women, Indigenous people, persons with disabilities and members of visible minorities. We recognize the importance of removing barriers to participation and provide accommodation upon request to all applicants throughout the recruitment process. If you require an accommodation, our People & Culture representative will work with you to meet your needs in a confidential and respectful manner. We believe everyone deserves a seat at the table-and we are taking deliberate action to make this a reality.

#ITR

#CompugenITR

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More about this job

Responsibilities

Design, build, test, and deploy production-ready Generative AI applications, intelligent agents, machine learning solutions, and reusable AI components using Azure technologies. Integrate solutions with enterprise systems and workflows while applying software engineering, security, privacy, governance, and Responsible AI practices.

Requirements

Requires extensive hands-on experience in AI development, machine learning, data science, or enterprise software engineering, with advanced Python and SQL skills and experience delivering production-ready AI solutions. Candidates should have strong expertise in LLMs, RAG, agentic AI, Azure AI services, machine learning pipelines, and enterprise integrations, along with a relevant degree or equivalent professional experience.

Skills

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Microsoft Azure AI
Azure Machine Learning
Azure OpenAI
Microsoft Copilot Studio
Power Automate
Machine Learning
Prompt Engineering
Databricks
CI/CD
Responsible AI

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Generative AI
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt Engineering
Microsoft Azure
Azure AI Foundry
Azure Machine Learning
Azure OpenAI
Azure AI Services
Microsoft Copilot Studio
Power Automate
Machine Learning
Classification
Regression
Clustering
Feature Engineering
Model Evaluation
Machine Learning Pipelines
Databricks
Visual Studio Code
Git
Jira
CI/CD
Automated Testing
APIs
Responsible AI
Data Privacy

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