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Added 15 hours ago
RE
Platform Integration and Monitoring Consultant
Randstad Enterprise
Montreal, QC
- Full-time
Added 15 hours ago
HO
Data Cloud Engineer
Hydro One
Toronto, ON
- $80 to $90 CAD / hour
- Contract
…platform services that support Snowflake, enterprise integrations, analytics, and AI workloads at scale. Serve as the bridge between Snowflake, Microsoft Azure, and Hydro One enterprise…
Added 15 hours ago
D
AWS AI Solution Architect
DEDICATTED
Canada
- Full-time
Added 15 hours ago
A(
Machine Learning Project Manager
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
Added 15 hours ago
D
Forward Deployed Full-Stack Engineer: Next.js + AWS AgentCore
DEDICATTED
Canada
- Full-time
AWS certifications (Solutions Architect, Developer, Machine Learning / Generative AI).
Added 15 hours ago
A(
Machine Learning Resident - Client: ModeDi (12 month term)
Amii (Alberta Machine Intelligence Institute)
AB · Edmonton, AB
- Full-time
Added 16 hours ago
XS
Senior Databricks Architect
Xaxis Solutions
ON · Ontario, Canada
- Contract
Experience in AI/GenAI, Lakehouse, Data Modernization and Advanced Analytics
Added 16 hours ago
Strategic Sourcing - Strategic Sourcing Associate
Mohawk Medbuy Corporation (MMC)
Burlington, ON · ON · Kingston, ON · London, ON · Oakville, ON · Thunder Bay, ON · Toronto, ON · Chatham-Kent, ON
…redevelopment) and nutrition solutions. Other services include data analytics, in-hospital support, warehousing/logistics, technology, procure-to-pay, and accounts…
Added 16 hours ago
PG
Business Data Analyst
Pacer Group
Toronto, ON
- $45 to $50 CAD / hour
- Contract
Added 16 hours ago
A
Senior Java Software Engineer
Artech
Mississauga, ON
- Contract
We are seeking a Senior Software Developer with deep Java technology expertise to work directly with our Fintech clients in the Spread Products space. This is a hybrid…
Added 16 hours ago
MM
Strategic Sourcing Associate
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Added 16 hours ago
SC
Quality Coordinator – ALTO project / Cadence
SYSTRA Canada
Montreal, QC
- Full-time
Added 16 hours ago
VS
Data Science Developer
vTech Solution Canada
Toronto, ON
- Contract
The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role…
Added 16 hours ago
S
Data Engineering Director - Vancouver
Slalom
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Added 16 hours ago
CS
Senior Account Executive, Enterprise AI and Data
Celestial Systems Inc.
Vancouver, BC
- Full-time
Solid understanding of data, analytics and AI, and the curiosity to keep learning a fast-moving market.
Added 16 hours ago
B
Intermediate Application Analyst (.Net/C# and Visual Studio exp)
Bevertec
AB · Edmonton, AB
- Contract
Experience working as an Application Developer in a large enterprise IT environment utilizing .Net, Microsoft Visual Studio, and source control tools.
Added 16 hours ago
D-
Responsable IA
DELAN - IT Talent Solutions
Quebec, QC
- Full-time
Supervise an AI developer within an IT team of about 6 people
Added 16 hours ago
W
Technical Lead Manager, ML Dataset Platform
Waabi
Toronto, ON
- $200,000 to $280,000 USD / year
- Full-time
Added 16 hours ago
AM
Machine Learning Project Manager
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
Added 16 hours ago
LC
Manager, Software Engineering & AI
Loblaw Companies Limited
Brampton, ON · Toronto, ON
- Full-time
Added 16 hours ago
AI Integration Engineer – Market Data & Entitlements
Capco
Toronto, ON
Experience as a Market Data Developer, API/Integration Engineer, Data Platform Engineer or AI Engineer with market-data exposure.
Added 16 hours ago
AI Engineer – Market Surveillance
Capco
Toronto, ON
Experience with streaming data, anomaly detection or real-time analytics within trading or surveillance environments.
Added 16 hours ago
AI Engineer – Corporate Actions & Asset Servicing
Capco
Toronto, ON
Experience as a Corporate Actions Developer, Asset Servicing Technology Analyst or AI Engineer with corporate-actions experience.
Added 16 hours ago
TI
Cloud Financial Operations Analyst
Tecsys Inc.
Remote, Canada
- Full-time
- Remote
Added 16 hours ago
IF
Data Scientist
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Do you enjoy turning data into practical solutions that transform the way people work? Join the Strategy and Analytics team within the Underwriting, New Business and Claims Vice-Presidency,…

vTech Solution Canada

Data Science Developer

Toronto, ON, Canada

Contract

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Job details

Job type: Contract
Apply by: Dec 5, 2026
Posting language: English
Posted: Nov 5, 2026

Original job description

Job Title: Data Science Developer - Senior

Location: Toronto, ON

Work Mode: Hybrid (3 days a week onsite)

Description

The Senior Data Science Developer will design, develop, and implement enterprise AI solutions, including Generative AI applications, intelligent agents, and reusable AI components. The role will accelerate delivery of priority AI use cases and establish reusable capabilities that reduce reliance on one-off solutions and external resources.

Key Responsibilities

Design, develop, test, and implement GenAI applications, intelligent agents, and AI-enabled solutions for priority business use cases.
Build reusable AI components, services, APIs, and solution patterns that can be leveraged across multiple business areas.
Develop solutions using large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and related AI techniques.
Integrate AI solutions with enterprise data sources, applications, APIs, and business workflows.
Develop prototypes and proofs of concept and evolve successful solutions toward secure, scalable, production-ready implementations.
Partner with Product Managers, Data Scientists, Data Engineers, Data Architects, and business teams to translate requirements into working AI solutions.
Apply software engineering practices including version control, testing, documentation, CI/CD, monitoring, and performance optimization.
Evaluate AI solution performance, reliability, accuracy, and scalability and continuously improve implemented solutions.
Incorporate Responsible AI, privacy, security, and data governance requirements into solution design and development.
Contribute to reusable enterprise AI patterns, development standards, technical documentation, and knowledge transfer to strengthen internal AI capability.

Qualifications & Experience

Degree in Computer Science, Data Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent experience.
Significant experience in AI, machine learning, data science development, or software engineering.
Strong programming skills, particularly Python and SQL, with experience developing production-quality applications.
Experience developing solutions using LLMs, GenAI, RAG, AI agents, machine learning, and APIs.
Experience integrating AI solutions with enterprise applications and data platforms.
Knowledge of cloud-based AI platforms, software development practices, APIs, Git, CI/CD, testing, and monitoring.
Understanding of prompt engineering, model evaluation, Responsible AI, security, privacy, and AI governance.
Strong analytical, problem-solving, communication, and collaboration skills.

Must Haves:

Advanced hands-on expertise in Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, model evaluation, and production AI development.
Strong hands-on experience with Microsoft Foundry/Azure AI Foundry, Azure Machine Learning, Azure AI services and cloud-based AI solution development.Tech stack: Python, SQL, LLM, Power Automate, VSCode, Git, Jira, Azure (mainly OpenAI, Copilot Studio and Foundry), Databricks.
Strong technical foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation and ML pipelines, with demonstrated ability to develop solutions that achieve measurable performance.

Public Sector Experience: preferred but not required

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More about this job

Responsibilities

Design, develop, and deploy enterprise AI solutions, including generative AI applications, intelligent agents, and reusable components integrated with business data, applications, and workflows. Collaborate across technical and business teams to deliver secure, scalable production solutions, evaluate their performance, and establish reusable standards and patterns.

Requirements

Requires significant experience in AI, machine learning, data science development, or software engineering, with advanced hands-on skills in Python, LLMs, RAG, agentic AI, APIs, prompt engineering, and production AI development. Strong experience with Microsoft Azure AI Foundry, Azure Machine Learning, and Azure AI services is required, along with knowledge of machine learning methods, cloud development, software engineering practices, and responsible AI.

Skills

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

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