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Radio-Canada

Senior AI Analyst – T & I

Radio-Canada

AI Analyst at CBC/Radio-Canada's hybrid AI Lab prototyping AI solutions for media production systems. Collaborate on development and deployment of AI-driven applications with a focus on cloud architectures.

Posted 7/23/2026contractMontreal • 🇨🇦 CanadaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-driven application development, focusing on cloud architectures and integration of large language models. Proficient in software engineering principles, with strong bilingual communication skills in English and French.

Highest-signal resume keywords
Python ProficiencyTypeScript ProficiencyJava ProficiencyCloud Architecture ExperienceBilingual Communication (English and French)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DesignQuality ControlDebuggingTesting MethodologiesInformation Security
Tools & Technologies
AI SystemsAPIsLarge Language ModelsDigital Platforms
Industry Keywords
AI-Driven ApplicationsCloud ArchitecturesCross-Functional CollaborationPrototypingDeployment

Tech Stack

Tools & technologies
CloudJavaPythonTypeScript

About the role

Key responsibilities & impact
  • Play an active role in the full life cycle (prototyping, development, deployment) of AI-driven applications and features, with a specific focus on cloud architectures.
  • Help fine-tune, evaluate and integrate large language models (LLMs) into our core business processes.
  • Set up and maintain testing, monitoring, feedback and performance assessment protocols for our AI systems.
  • Assist the team in connecting intelligent agents to internal or external services and APIs.
  • Work closely with cross-functional teams to embed AI capabilities into our digital platforms.
  • Conduct exploratory proofs of concept to bridge AI with our legacy systems and build viable new products.

Requirements

What you’ll need
  • University degree in software engineering, computer science, data science or a related field
  • One to two years’ hands-on technical experience in software design
  • Strong proficiency in Python, TypeScript or Java
  • A solid understanding of software engineering fundamentals, including quality control, debugging, testing methodologies and information security.
  • Functional bilingualism (English and French) essential for Canada-wide communications.

Benefits

Comp & perks
  • Flexible work arrangements
  • Professional development