Jobs in Canada

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Added 21 mins ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
Familiarity with deploying and scaling classical machine learning or deep learning models in production, alongside solid MLOps practices (CI/CD, model monitoring, and automated pipelines).
Added 1 hour ago
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Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Set standards for MLOps/LLMOps, Infrastructure as Code, and CI/CD so delivery is secure, repeatable, and fast.
Added 1 hour ago
S
Computer Vision Solutions Leader
SoftServe
Canada
- Full-time
Design and implement end-to-end MLOps pipelines on Azure that automate continuous model retraining based on the model cascade approach, covering data ingestion and versioning, labeling…
Added 2 hours ago
Senior Data Scientist, Customer Value Forecasting
HelloFresh
Toronto, ON
This means a minimum of 2 days in office per week, with most teams in office between 2-3 days a week
Added 3 hours ago
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Forward Deployed Engineer
HRConnects
Toronto, ON
- Full-time
…prompt engineering, and vector databases, and implementing MLOps/LLMOps capabilities to ensure reliable, secure production environments. You’ll also support adoption and measure success,…
Added 19 hours ago
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AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
Added 22 hours ago
MC
AI & Automation Developer
Morgan Construction and Environmental Ltd.
AB · Edmonton, AB
- Full-time
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 23 hours ago
M
Technology Delivery Lead, Enterprise AI
Marsh
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 1 day ago
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Physical AI Developer
PwC
Toronto, ON
- Full-time
As a Physical AI Developer at the Senior Associate, unlock your potential and embrace the chance to drive meaningful outcomes that’ll elevate your career. Your role will include, but isn’t…
Added 1 day ago
MC
AI & Automation Developer
Morgan Construction & Environmental Ltd.
AB · Edmonton, AB
- Other
At Morgan, we don’t just build projects, we build careers and futures! Join us as an AI & AUTOMATION DEVELOPER and play a pivotal role in our dynamic world of heavy civil construction!
Added 1 day ago
AC
Specialist, Data and AI - AI Systems Integrator
Air Canada
Toronto, ON · Dorval, QC
- Full-time
Implement and maintain CI/CD pipelines for models, inference services, and data workflows in accordance with defined MLOps standards.
Added 1 day ago
EA
Machine Learning Engineer
exacare ai
Canada
- Full-time
Strong, hands-on understanding of the MLOps lifecycle and associated tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, Prometheus).
Added 1 day ago
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Senior Data Engineering Advisor
Desjardins
Montreal, QC · Levis, QC
- Full-time
Knowledge of Azure MLOps and advanced analytics
Added 1 day ago
Data Scientist
Government of Alberta
AB
Added 1 day ago
MM
Technology Delivery Lead, Enterprise AI
Marsh McLennan
Toronto, ON
- Full-time
All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Added 1 day ago
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Principal Architect, AI Platform
BMO
Toronto, ON
- Full-time
You will hold architectural oversight across the AI Platform capabilities including Developer Experience, Security, DevOps, and Data Analytics. You will work across teams and organizations…
Added 1 day ago
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Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
Experience with MLOps, containers, CI/CD, model registries, cloud platforms, or embedded deployment is an asset.
Added 1 day ago
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Data Scientist (Aerospace)
SOTI
Mississauga, ON
- Full-time
Experience with MLOps, containers, CI/CD, model registries, cloud platforms, or embedded deployment is an asset.
Added 1 day ago
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Senior Specialist AI Machine Learning
Hays
Sudbury, ON
- Full-time
We are currently seeking a Sr. Specialist, AI/Machine Learning Developer to join the AI & Automation Centre of Excellence within Information Technology, based in Sudbury, Ontario, Canada.
Added 1 day ago
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AI Researcher - PhD
nugget.ai
Mississauga, ON
- Contract
Engineering Acumen: Proven experience with distributed computing frameworks (e.g., Spark, Ray), cloud data infrastructure (AWS, Azure, or GCP), and modern MLOps pipelines.
Added 1 day ago
S
Data Scientist II
SOTI
Mississauga, ON
- Full-time
Knowledge of MLOps, including CI/CD, model monitoring, model/version management,
Added 1 day ago
YI
AI Transformation Lead
YM INC.
Toronto, ON
- Full-time
Understanding of MLOps concepts, APIs, and how AI products are built and maintained
Added 1 day ago
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Senior Software Engineer - Integrations - AI/ML
ClickHouse
Remote, Canada
- $147,000 to $238,000 USD / year
- Full-time
- Remote
…integrations set the standard for performance, reliability, and developer…
Added 1 day ago
VB
Sr Spec, IT
Vale Base Metals
Toronto, ON
- Full-time
We are seeking a Sr. Specialist, AI/Machine Learning Developer to join our AI & Automation Centre of Excellence for a permanent opportunity within Information Technology in Sudbury, ON.…
Added 1 day ago
NC
AI Software Developer
Newfoundland Capital Corporation Limited
Montreal, QC
- Full-time
We are currently looking for an AI Software Developer to join our AI team. This position reports to the AI Adoption Leader.

CBC/Radio-Canada

AI Architect (T & I) (Telework/Hybrid)

Ottawa, ON, Canada
Toronto, ON, Canada
Montreal, QC, Canada

Full-time

Apply on cbcrc.wd3.myworkdayjobs.com About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English
Posted: Oct 2, 2026

Original job description

Position Title:

AI Architect (T & I) (Telework/Hybrid)

Status of Employment:

Contractee Long-Term (Durée déterminée)

Position Language Requirement:

English, French

Language Skills:

English (Reading - C - Advanced), English (Speaking - C - Advanced), English (Writing - B - Intermediate), French (Reading - C - Advanced), French (Speaking - C - Advanced), French (Writing - B - Intermediate)

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:

2026-07-21 11:59 PM

Behind the scenes, but ahead of the curve: help us develop the next-generation public service media organization.

Technology & Infrastructure (T&I) is the backbone and the future-forward arm of CBC/Radio-Canada. Our purpose is to constantly innovate to evolve and maintain the Corporation’s technology and infrastructure. We are the people that make stuff work. We make connections between media content, systems, people and places. We are the space in between.

A place with purpose. CBC/Radio-Canada has always been a highly regarded pioneer of media technology - not just in Canada but around the world. Today, we are transforming ourselves into a modern and agile public service media organization. Technology is the driving force, and we are the team making it happen.

This is a hybrid position with a mix of in-office and remote work. Work arrangements will be discussed with hiring managers per departmental guidelines.

Your Role

If you want to push the boundaries of media technology and are excited by the challenge of bridging creativity with cutting-edge tech, this role is for you!

As a key member of the Architecture and Strategic Development (Media System Architecture) team, you will design and plan CBC/Radio-Canada’s future technology infrastructure. Our mission is to transform our disparate media workflows by integrating hybrid agents, video understanding systems and advanced artificial intelligence architectures operating 24/7.

We are looking for an AI Architect with deep technical expertise in optimizing training and inference for large language models (LLMs), multimodal models and AI systems in a media context. As a technical thought leader, you will design robust systems to make AI faster, more scalable and more reliable, ensuring their seamless integration into our critical production ecosystems (PAM, MAM, studios).

Your Responsibilities

Optimizing Models, Inference and GPU Infrastructure

Design and build high-performance training and inference systems for LLMs and multimodal AI models.
Optimize end-to-end training, including high throughput data pipelines (streaming, sharding, bucketing), distributed training (parallelism strategies) and mixed precision.
Optimize inference and serving engines to guarantee minimum latency using KV caching design/management, batching, quantization and long-context processing.
Collaborate with the Technology & Infrastructure (T&I) team to design, right-size and evolve our internal GPU cluster into a new-generation infrastructure capable of supporting these massive workloads.

Strategy, Architecture and Media Ecosystem

Plan, develop and architect the integration of AI solutions within CBC/Radio-Canada’s media production environments (PAM, MAM, television and radio studios).
Evaluate and standardize integration protocols such as Model Context Protocol (MCP) and agent-to-agent (A2A) architectures to interconnect our models with complex production platforms (Avid, Dalet, Adobe).
Ensure absolute data security while developing video understanding systems that can interact with both file-based workflows (codecs, wrappers) and IP live workflows (SMPTE‑2110).

Technical Leadership, Mentoring and MLOps

Provide expert guidance on system efficiency, spearheading initiatives to dramatically improve architectural scalability, latency and reliability.
Mentor and elevate the organization’s engineers and data scientists in large-scale ML system design and performance engineering.
Develop robust MLOps/LLMOps pipelines with a constant focus on observability, performance profiling and automated testing.
Summarize and explain technological innovations to make them understandable to decision-makers and production teams and influence our strategic investments.

Featured Technology Environment

Inference Modelling and Optimization: PyTorch, vLLM, DeepSpeed, Accelerate, KV caching architectures, quantization techniques.
Infrastructure, Cloud and Compute: internal GPU clusters, distributed architectures, AWS, Azure, GCP, containers, Kubernetes.
Orchestration and Agents: Open WebUI, integration protocols (MCP, A2A), LiteLLM, LangChain, LangGraph, Strands.
Media Production: SMPTE-2110 protocols, PAM/MAM (Avid Interplay, Dalet), Adobe suite, media processing (audio/video codecs).
MLOps and Observability: Langfuse, Weights & Biases (W&B), MLflow, performance profiling tools.

Minimum Qualifications

Bachelor’s or master’s degree in software engineering, information technology, artificial intelligence, mathematics or a related natural science field.
Functional bilingualism (English and French) essential for Canada-wide communications.
At least five years’ proven experience developing and deploying AI/ML solutions.
At least eight years’ experience building tools and platforms in a software engineering role.
Demonstrated experience working with language models and designing solutions optimized for cost efficiency and scale.
Strong conceptual understanding of LLM, RAG and AI agent architectures, including their frameworks and operational constraints.
Experience selecting AI framework architectures (e.g., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure, AWS, GCP) and orchestration tools (Docker, Kubernetes) for scalable enterprise AI solutions.
Knowledge of ModelOps, AI engineering, DevOps and MLOps practices (including CI/CD pipelines).
Solid understanding of machine learning and deep learning fundamentals.
Strong technical documentation skills, with the ability to produce diagrams, demos and technical artifacts that make AI architectures understandable and actionable.
Hands-on technical experience working with media production platforms (MAM/PAM) and designing scalable solutions in a highly available, 24/7 environment.
Solid working knowledge of cloud technologies (AWS, Azure or GCP), virtualization, networking and storage.

Nice-to-Have Skills (Assets)

Experience with modern video software architectures (e.g., NVIDIA Holoscan for Media) or ultra-high-performance IP transfer protocols.
Demonstrated experience managing complex workflows through cloud or hybrid data pipelines.
Active contributions to open-source high-performance AI projects and published research, or deep understanding of security frameworks for responsible AI.

Candidates may be subject to skills and knowledge testing.

We thank all applicants for their interest, but only candidates selected for an interview will be contacted.

As part of our recruitment process, candidates who advance to the next

step will be asked to complete a background check. This includes:

A mandatory Criminal record check.
Other background checks may be conducted based on the operational requirements of the position.

CBC/Radio-Canada is committed to being a leader in reflecting our country’s diversity. That’s because we can only create and tell the stories that connect Canadians, by having a workforce that mirrors the ever-changing makeup of our country. That’s why we, as an employer, value equal opportunity and nurture an inclusive workplace where our individual differences are not only recognized and valued, but also extend to and pervade all the services we provide as Canada’s public broadcaster. For more information, visit the Diversity and Inclusion section of our website. If you have accommodation needs at this stage of the recruitment process, please inform us as soon as possible by sending an e-mail to recruitment@cbc.ca.

You are invited to consult and familiarize yourself with our Code of Conduct, which can be found on our corporate website. All employees must adhere to the Code as a condition of employment. We also invite you to take a look at our policy on conflicts of interest. In the event that you become an employee, it will be important to inform us, as quickly as possible, of any situation that, because of your hiring, constitutes or could appear to constitute a conflict of interest.

Primary Location:

1000, Rue Papineau, Montreal, Quebec, H2K 0C2

Number of Openings:

Work Schedule:

Full time

Apply on cbcrc.wd3.myworkdayjobs.com About employer

More about this job

Responsibilities

Design and plan the future technology infrastructure by integrating advanced artificial intelligence architectures into media production workflows. Optimize training and inference systems for large language models while providing technical leadership and mentoring to engineering teams.

Requirements

Requires a bachelor's or master's degree in a relevant technical field and at least five years of experience in AI/ML solution development. Candidates must possess strong expertise in LLM architectures, cloud platforms, and media production environments, along with functional bilingualism in English and French.

Skills

Artificial Intelligence
Large Language Models
Machine Learning
PyTorch
GPU Infrastructure
MLOps
LLMOps
System Architecture
Cloud Computing
Kubernetes
Distributed Training
Inference Optimization
Media Production Systems
Data Pipelines
Python
Technical Leadership

Benefits

Hybrid work arrangement
Professional development
Inclusive workplace

Visa sponsorship

Not detected in the job text

Keywords

AI Architect
LLM
Multimodal Models
Inference
GPU Clusters
PyTorch
vLLM
DeepSpeed
AWS
Azure
GCP
Kubernetes
Docker
MLOps
LLMOps
LangChain
LangGraph
SMPTE-2110
MAM
PAM
Avid Interplay
Dalet
Model Context Protocol
Performance Engineering
Data Pipelines
Distributed Training
Quantization
Observability
Media Technology
Software Engineering

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Work requirements

Jobs in Canada