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Added 10 days ago
TS
Full Stack Developer
Triunity Software
Montreal, QC
- $100,000 to $110,000 CAD / year
- Full-time
Proven experience as a Full Stack Developer or similar software engineering role
Added 10 days ago
PT
Software Programmer
Paladin Technologies
Ottawa, ON
- Full-time
Work directly with other Systems Analysts, Project Managers, Sales, and Engineering resources to help design IT infrastructure supporting Physical Security and Audio Video solutions
Added 10 days ago
FT
Senior Software Engineer
Franklin Templeton
Toronto, ON
- Full-time
Core Stack: Snowflake (SQL, Stored Procedures, Tasks), Python, Azure Data Factory (ADF), APIs, Blob Storage
Added 10 days ago
AI
AI Platform Engineer with DevOps Experience
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Halifax, NS
- Full-time
Champion developer experience and DevOps best practices.
Added 10 days ago
IG
Hardware System Test Engineer
Insight Global
Ottawa, ON · Kanata, ON
- $24 to $58 CAD / hour
- Contract
We are looking for a Hardware Engineer to support our client’s hardware engineering organization, helping characterize and validate a broad range of networking systems. This is a hands-on…
Added 10 days ago
ED
Manager, Risk Quantification - EN 071
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $112,006 to $149,341 CAD / year
- Full-time
Assess model design, conceptual soundness, data quality, implementation, performance, limitations, controls and ongoing monitoring, and communicate clear conclusions and recommendations.
Added 10 days ago
SB
Senior Analyst, Commercial Analytics & Revenue Growth Management
Sleeman Breweries Ltd.
Guelph, ON
- Full-time
Responsible to transform commercial and market data into actionable insights that drive profitable growth, improve decision-making, and strengthen Sleeman’s competitive position. Through…
Added 10 days ago
O
Embedded Firmware Developer
OPISystems
Calgary, AB
- Full-time
We are looking for an experienced Embedded Firmware Developer to join our engineering team immediately. This role will focus initially on supporting and enhancing our BLUE® platform,…
Added 10 days ago
PP
AI Trainer - STEM
Planet Pharma
Canada
- Contract
We're looking for experienced STEM professionals to help evaluate and improve cutting-edge AI systems by testing how they perform on real-world scientific and engineering challenges.
Added 10 days ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
…perception, electrification technology, and robotics that enable data-driven agricultural management and precision treatment, and help growers to build a fully autonomous, efficient and…
Added 10 days ago
BC
Associate, DevOps Engineer
BMO Capital Markets
Toronto, ON
- Part-time
We are seeking an experienced DevOps Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust DevOps pipelines and…
Added 10 days ago
T
Analyst – Front Office Application Engineer
TD
Toronto, ON
- Full-time
The Quantitative Engineering and Development (QED) team is a front-office quantitative technology and analytics group within TD Securities that supports the Global Equity Derivatives…
Added 10 days ago
ET
Software Engineer - Embedded
Electrans Technologies Ltd
Oakville, ON
- Full-time
We are looking for a highly capable and versatile embedded software engineer to join our team. Working closely with our engineering team and colleagues across the organization, you will…
Added 10 days ago
BP
Risk Model Developer
BNP Paribas
Montreal, QC
- Full-time
Doctorate, master’s or other advanced degrees in Quantitative fields (Finance, Economics, Actuarial science, financial engineering, etc.)
Added 10 days ago
Terraform Developer
Capgemini
Toronto, ON
Capgemini is seeking a Terraform Developer to join the Aperture Data Insights team within the Quantitative Technology Services (QTS) Data Cloud & Compute stream. The role is ideal for a…
Added 10 days ago
Software Engineer III
Electronic Arts
Vancouver, BC
In FC Quality Verification Engineering, our mission is to help our teams identify quality issues earlier. We build automation frameworks and developer tools that combine software…
Added 10 days ago
Senior Software Engineer
Electronic Arts
Vancouver, BC
In FC Quality Verification Engineering, our mission is to build the technology, large-scale test automation, and AI-powered developer tools that help our EA SPORTS FC teams understand game…
Added 10 days ago
N
ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.
Added 10 days ago
F
Senior Embedded Software Developer
Fortinet
Burnaby, BC
- Full-time
…Unified Threat Management feature set (Anti-Virus, Web Filter, Data Leak Prevention and Anti-Spam). You love tackling challenging problems and take pride in writing clean, well thought-out…
Added 10 days ago
F
Senior Embedded Software Developer
Fortinet
Burnaby, BC
- Full-time
…Management (UTM) feature set including Anti-Virus, Web Filter, Data Leak Prevention, and…
Added 10 days ago
C
Software/Application Developer Co-op
CIBC
Toronto, ON
- Full-time
Join our CIBC Technology team as a Software/Application Developer Co-Op and have a real impact in making our clients’ ambitions a reality! This is a great opportunity to be a part of an…
Added 10 days ago
C1
Senior Data Engineer (Microsoft Fabric) - 6 months Contract - Vancouver - (Hybrid)
Central 1
Vancouver, BC
- Full-time
Deliver against project commitments by contributing to the design, development, and implementation of data engineering solutions, ensuring alignment with timelines, quality standards, and…
Added 10 days ago
EC
GCP Data Engineer
Experis Canada
Toronto, ON
- Contract
We are looking for an experienced GCP Data Engineer (5+ years) with expertise in:
Added 10 days ago
IF
Senior AI Developer - Experience with Python, Spark/PySpark, Databricks, and AWS
Intact FC
Montreal, QC · Laval, QC
- Full-time
We’re looking for a Senior AI Developer - Experience with Python, Spark/PySpark, Databricks (including Unity Catalog), and AWS to join our growing team!
Added 10 days ago
AM
RTL Design Engineer
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- Full-time
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NBCUniversal

ML Solutions Architect - Architecte de solutions ML

Avenue du Parc, Montreal, QC, H2V 4H5, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Posting language: English · French
Posted: Oct 22, 2026

Original job description

English section of this bilingual listing.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

We are seeking an ML Solutions Architect who brings broad software engineering expertise along with strong machine learning-adjacent experience. In this role, you will lead the high-level design of systems that integrate ML models into our broader product suite. You will act as a technical consultant, evaluating customer requirements and determining whether they can be addressed with off-the-shelf solutions or should be escalated as specialized research initiatives for our Deep Learning and Reinforcement Learning teams.

This role is ideal for a systems-minded engineer who can translate product vision into scalable architecture, while balancing technical feasibility, performance, and maintainability.

Key Responsibilities

System Integration & Coprocessing: Design and implement the software layers that allow ML models to interact with a real-time rendering engine. This includes managing data pre-processing and post-processing (coprocessing) to ensure high-performance execution.
Technical Consulting: Evaluate incoming customer requirements to determine the optimal path forward. You will decide if a task can be solved using off-the-shelf tools or if it requires a deep-dive research project to be handed off to our Deep Learning or Reinforcement Learning engineers.
Language-Agnostic Engineering: Build and maintain wrappers, APIs, and microservices that allow our ML stack to remain flexible and language-agnostic across different production environments.
Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.
Modular Execution: Break down complex product visions into manageable architectural components, ensuring that ML components ship as part of a stable, scalable software product.

Responsabilités principales

Qualifications

Education: Degree in Computer Science, Software Engineering, or a related field.
Professional Experience: Proven experience as a Software Architect or Systems Engineer in a fast-paced environment.
Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
Technical Proficiency:
Generalist Tooling: Fluency with Git, and the Unix shell, with a strong ability to work across multiple programming languages as needed (ideally including one or more of Python, C++, C#).
Architectural Knowledge: Deep understanding of how to integrate ML models into production software (e.g., API design, message brokers, and containerization, compute and memory budgeting).
Fluency with 3D geometry, linear algebra, and/or computer graphics
ML Literacy: While you may not be training models daily, you must have enough ML-adjacent experience to understand model constraints, data requirements, and the "state of the art."
Experience with fine-tuning and deploying models is a plus.
Attributes:
Strategic Decision-Making: Ability to perform "Build vs. Buy" analyses for ML components.
Communication: Exceptional ability to translate high-level product vision into concrete engineering specs for both technical leadership and specialized engineers.
Conscientiousness: High attention to detail regarding system stability and interoperability

Additional Requirements:

Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to [email protected].

Business Segment: NBCU Corporate

Read the full bilingual original

Company Description

NBCUniversal est l’un des leaders mondiaux du secteur des médias et du divertissement. Nous créons des contenus d’exception, que nous diffusons à travers notre portefeuille de films, de programmes télévisés et de services de streaming, et que nous donnons vie grâce à nos parcs à thème internationaux, nos produits grand public et nos expériences. Nous détenons et exploitons des marques de premier plan dans les domaines du divertissement et de l’information, notamment NBC, NBC News, NBC Sports, Telemundo, les chaînes locales NBC, Bravo et Peacock, notre service de streaming premium financé par la publicité. Nous produisons et distribuons des films et des programmes de divertissement de premier ordre grâce à nos puissants studios de cinéma et de télévision, notamment Universal Pictures, DreamWorks Animation et Focus Features, ainsi qu’aux quatre studios de télévision mondiaux regroupés sous la bannière Universal Studio Group. Nous exploitons également des parcs à thème et des expériences de premier plan à travers le monde via Universal Destinations & Experiences, notamment l’Universal Orlando Resort, qui abrite l’Universal Epic Universe, et Universal Studios Hollywood. NBCUniversal est une filiale de Comcast Corporation. Rendez-vous sur www.nbcuniversal.com pour plus d’informations.

Notre impact repose sur l’amélioration des communautés dans lesquelles vivent et travaillent nos employés, nos clients et nos publics. Nous avons une riche tradition d’engagement social et veillons à ce que nos employés aient la possibilité de s’investir au sein de leurs communautés. Nous défendons une culture inclusive et nous nous efforçons d’attirer et de former une main-d’œuvre talentueuse afin de créer et de proposer un large éventail de contenus reflétant notre monde.

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Job Description

This role is ideal for a systems-minded engineer who can translate product vision into scalable architecture, while balancing technical feasibility, performance, and maintainability.

Nous sommes à la recherche d’un(e) architecte de solutions ML possédant une solide expertise générale en ingénierie logicielle ainsi qu’une bonne expérience connexe à l’apprentissage automatique. Dans ce rôle, vous serez responsable de la conception de haut niveau des systèmes qui intègrent les modèles ML à notre offre de produits. Vous agirez comme conseiller(ère) technique en évaluant les besoins des clients afin de déterminer s’ils peuvent être satisfaits à l’aide de solutions prêtes à l’emploi ou s’ils doivent être confiés à nos équipes spécialisées en apprentissage profond et en apprentissage par renforcement.

Ce poste convient particulièrement à une personne ayant une vision systémique, capable de traduire une vision produit en une architecture évolutive, tout en conciliant faisabilité technique, performance et maintenabilité.

Key Responsibilities

System Integration & Coprocessing: Design and implement the software layers that allow ML models to interact with a real-time rendering engine. This includes managing data pre-processing and post-processing (coprocessing) to ensure high-performance execution.

Technical Consulting: Evaluate incoming customer requirements to determine the optimal path forward. You will decide if a task can be solved using off-the-shelf tools or if it requires a deep-dive research project to be handed off to our Deep Learning or Reinforcement Learning engineers.

Language-Agnostic Engineering: Build and maintain wrappers, APIs, and microservices that allow our ML stack to remain flexible and language-agnostic across different production environments.

Cross-Functional Coordination: Act as the primary technical liaison between technical leadership, customers, and the core engineering team to spec out data and integration requirements.

Modular Execution: Break down complex product visions into manageable architectural components, ensuring that ML components ship as part of a stable, scalable software product.

Responsabilités principales

Intégration de systèmes et coprocessing : Concevoir et mettre en œuvre les couches logicielles permettant aux modèles ML d’interagir avec un moteur de rendu en temps réel, y compris les composants de prétraitement et de post-traitement nécessaires à une exécution performante.

Conseil technique : Évaluer les demandes clients et déterminer la meilleure approche à adopter, qu’il s’agisse d’outils disponibles sur le marché ou de projets de recherche spécialisés à confier aux équipes d’apprentissage profond ou d’apprentissage par renforcement.

Ingénierie agnostique aux langages : Développer et maintenir des wrappers, API et microservices afin de garantir la flexibilité et l’interopérabilité de la pile ML dans différents environnements de production et langages de programmation.

Collaboration interfonctionnelle : Agir comme principal point de contact technique entre la direction, les clients et les équipes d’ingénierie afin de définir les exigences d’intégration, de système et de données.

Exécution modulaire : Décomposer des visions produit complexes en composantes architecturales claires afin de livrer des fonctionnalités ML au sein d’un produit logiciel stable et évolutif.

Qualifications

Education: Degree in Computer Science, Software Engineering, or a related field.
Professional Experience: Proven experience as a Software Architect or Systems Engineer in a fast-paced environment.
Industry Context: Prior experience in industries with complex multi-disciplinary teams such as robotics, smart grids, precision agriculture, game development, or aerospace.
Technical Proficiency:
Generalist Tooling: Fluency with Git, and the Unix shell, with a strong ability to work across multiple programming languages as needed (ideally including one or more of Python, C++, C#).
Architectural Knowledge: Deep understanding of how to integrate ML models into production software (e.g., API design, message brokers, and containerization, compute and memory budgeting).
Fluency with 3D geometry, linear algebra, and/or computer graphics
ML Literacy: While you may not be training models daily, you must have enough ML-adjacent experience to understand model constraints, data requirements, and the "state of the art."
Experience with fine-tuning and deploying models is a plus.
Attributes:
Strategic Decision-Making: Ability to perform "Build vs. Buy" analyses for ML components.
Communication: Exceptional ability to translate high-level product vision into concrete engineering specs for both technical leadership and specialized engineers.
Conscientiousness: High attention to detail regarding system stability and interoperability

Qualifications

Diplôme en informatique, en génie logiciel ou dans un domaine connexe.
Expérience démontrée en tant qu’architecte logiciel, architecte de solutions ou ingénieur(e) système dans un environnement dynamique.
Une expérience dans des secteurs multidisciplinaires tels que la robotique, les réseaux intelligents, l’agriculture de précision, le développement de jeux vidéo ou l’aérospatiale est fortement valorisée.
Compétences techniques
Outillage généraliste : Excellente maîtrise de Git et des environnements Unix, avec la capacité de travailler dans plusieurs langages de programmation selon les besoins, idéalement Python, C++ ou C#.
Connaissances architecturales : Compréhension approfondie de l’intégration de modèles ML dans des logiciels de production, incluant la conception d’API, les courtiers de messages, la conteneurisation ainsi que la planification des ressources de calcul et de mémoire.
Maîtrise de la géométrie 3D, de l’algèbre linéaire et/ou de l’infographie.
Littératie ML : Expérience connexe suffisante en apprentissage automatique pour comprendre les contraintes des modèles, les besoins en données et l’état de l’art, même sans entraîner des modèles au quotidien.
Atout : Une expérience en ajustement fin (fine-tuning) et en déploiement de modèles d’apprentissage automatique constitue un avantage important.
Qualités recherchées
Prise de décision stratégique : Capacité à réaliser des analyses pertinentes de type build vs. buy pour les composants et systèmes intégrant du ML.
Communication : Excellente capacité à traduire une vision produit de haut niveau en spécifications d’ingénierie concrètes pour la direction et les équipes techniques spécialisées.
Rigueur : Grande attention accordée à la stabilité des systèmes, à l’interopérabilité et à la maintenabilité à long terme.

Additional Requirements:

Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

Additional Information

Business Segment: NBCU Corporate

Apply About employer

More about this job

Responsibilities

The ML Solutions Architect will lead the high-level design of systems integrating machine learning models into the product suite. They will act as a technical consultant to evaluate requirements and coordinate between research teams and engineering to ensure scalable, maintainable implementations.

Requirements

Candidates must hold a degree in Computer Science, Software Engineering, or a related field with proven experience as a Software Architect or Systems Engineer. Strong proficiency in programming languages like Python, C++, or C# and experience in complex multi-disciplinary industries are required.

Skills

Machine Learning
Software Architecture
System Integration
Python
C++
C#
Git
Unix
API Design
Containerization
3D Geometry
Linear Algebra
Computer Graphics
Deep Learning
Reinforcement Learning
Microservices

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Software Architecture
System Integration
Python
C++
C#
Git
Unix
API Design
Containerization
3D Geometry
Linear Algebra
Computer Graphics
Deep Learning
Reinforcement Learning
Microservices
Message Brokers
Software Engineering
Technical Consulting
Scalable Architecture
Build vs Buy Analysis
Interoperability
Rendering Engine
Data Pre-processing
Post-processing
Robotics
Smart Grids
Precision Agriculture
Game Development
Aerospace

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