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Bevertec

Data Science Developer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Pay rate: $70-75 · Contract

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Job details

Pay: Pay rate: $70-75
Job type: Contract
Apply by: Dec 4, 2026
Posting language: English
Posted: Nov 4, 2026

Original job description

Senior Data Science Developer | RQ00244

We are looking for a Senior Data Science Developer to join Metrolinx’s Enterprise AI & Data Centre of Excellence and build enterprise-grade AI solutions, Generative AI applications, and intelligent agents.

Location: Toronto (Hybrid – 3 days onsite/week)

Contract Duration: 6 months

Pay rate: $70-75

Key Responsibilities:

Design and develop GenAI applications, intelligent agents, and AI-powered solutions.
Build solutions using LLMs, RAG, agentic AI, machine learning, and APIs.
Develop reusable AI components, services, and enterprise integrations.
Integrate AI solutions with enterprise data sources, applications, and workflows.
Build prototypes and take successful solutions into production.
Evaluate model performance, accuracy, reliability, and scalability.
Apply software engineering practices, including Git, testing, CI/CD, monitoring, and documentation.
Incorporate Responsible AI, privacy, security, and data governance.

Must-Have Skills:

Advanced hands-on experience with Python, software engineering, LLMs, RAG, agentic AI, APIs, and prompt engineering.
Strong experience with Microsoft Foundry / Azure AI Foundry, Azure Machine Learning, and Azure AI services.
Hands-on experience developing and deploying production AI solutions in the cloud.
Strong foundation in statistics and machine learning, including classification, regression, clustering, feature engineering, model evaluation, and ML pipelines.
Experience with SQL, Power Automate, VS Code, Git, Jira, Azure OpenAI, Copilot Studio, Foundry, and Databricks.
Public-sector experience is preferred, but not mandatory.

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More about this job

Responsibilities

Design and build enterprise-grade generative AI applications, intelligent agents, and machine-learning solutions, integrating them with enterprise data, applications, and workflows. Develop prototypes into production-ready systems, evaluate their performance and reliability, and apply software engineering, responsible AI, privacy, security, and data governance practices.

Requirements

Requires advanced hands-on experience with Python, software engineering, LLMs, RAG, agentic AI, APIs, prompt engineering, and Azure AI technologies, along with experience deploying production AI solutions in the cloud. Candidates should also have a strong foundation in statistics and machine learning and experience with tools including SQL, Power Automate, Git, Jira, Copilot Studio, and Databricks; public-sector experience is preferred but not required.

Skills

Python
Software Engineering
Large Language Models
Retrieval-Augmented Generation
Agentic AI
Prompt Engineering
APIs
Azure AI Foundry
Azure Machine Learning
Azure AI Services
Machine Learning
Statistics
SQL
Power Automate
Git
Databricks

Visa sponsorship

Not detected in the job text

Keywords

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

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