Senior Manager, Machine Learning & AI (Digital Strategy And Product) (English Services)

Position Title:

Senior Manager, Machine Learning & AI (Digital Strategy And Product) (English Services)

Status of Employment:

Contractee Long-Term (Fixed Term)

Position Language Requirement:

English

Language Skills:

English (First Official Language), English (Reading), English (Speaking), English (Writing)

Work at CBC/Radio-Canada

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

Unposting Date:

2026-04-26 11:59 PM

Work at CBC/Radio-Canada

At CBC/Radio-Canada, we create content that informs, entertains and connects Canadians on multiple platforms. Our successes and accomplishments are driven by embodying and upholding values, which include creativity, integrity, inclusiveness and relevance.

Do you think you have the ability and drive to keep up with this exciting, ever-changing industry? Whether it be in front of the camera, on air, online or behind the scenes, you would be joining a team that thrives on making connections and telling stories that are important to Canadians.

About the Role:

You'll play a central role in shaping our AI strategy and driving the development and deployment of advanced AI/ML solutions. As the Manager of Machine Learning and AI, you'll be instrumental in leading two talented, multidisciplinary teams of Machine Learning Developers, Data Scientists, Data Engineers, AI Engineers, and Software Developers.

You'll collaborate closely with Product leaders and Technical leaders to ensure the seamless integration of AI/ML solutions into our product ecosystem. You will be responsible for empowering your teams to deliver impactful products that drive business outcomes and create a superior audience experience.

Responsibilities:

Team Leadership & Development

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Lead, mentor, and scale two high-performing engineering teams, fostering a culture of trust, innovation, and continuous learning.

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Empower team members (ML Developer, Data Scientist, Data Engineer, AI Engineer, and Software Developers) to achieve excellence and drive innovation in AI/ML initiatives.

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Ensure best practices in engineering for scaling ML-powered features.

Strategic AI Leadership

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Act as a thought leader on the application of AI within the enterprise's industry, providing guidance on the overall AI/ML strategy.

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Contribute to and influence the AI/ML product roadmap based on feedback from audiences and emerging trends.

End-to-End ML/AI Product Development Lifecycle

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Guide your teams in developing and implementing an AI Engineering platform that enables the scalable deployment of machine learning models.

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Direct the team's efforts in creating and optimizing MLOps pipelines to ensure continuous deployment, integration, and monitoring of machine learning models, prioritizing scalability, efficiency, and cost-effectiveness.

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Oversee the entire lifecycle of AI software components, from development and testing to deployment and ongoing support, focusing on areas like foundation model training, LLM inference, and implementing robust guardrails.

Security & Compliance

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Provide direction on building, deploying, and supporting secure AI software, ensuring fairness, transparency, and ethical considerations are integrated throughout the development lifecycle.

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Guide the design, development, and implementation of AI models into operational workflows, with a focus on security and compliance.

Cross-Functional Collaboration

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Partner and collaborate with product, architecture, quality engineering and infrastructure to define and execute the Product roadmap.

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Communicate complex ideas clearly and effectively across disciplines and to diverse stakeholders, including senior leadership.

Qualifications:

AI Leadership and Management: You have at least seven years of experience in software or machine learning, with a minimum of three years in a leadership role. You've managed teams of data scientists, ML or software developers and have a proven track record of building and scaling AI platforms that successfully deploy ML models into production.

Technical Proficiency: You have a deep understanding of ML and deep learning frameworks like PyTorch and TensorFlow. You have extensive experience with MLOps, CI/CD pipelines, containerization, and major cloud platforms (AWS, Azure, or GCP). You're also skilled in data modeling and building robust data pipelines. You have a solid grasp of core AI concepts, including NLP, Generative AI, and LLMs.

Agile Development: You have a product-focused mindset and are comfortable working