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Added 4 months ago
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Senior Flight-Operations Satellite Systems Engineer | Hybrid/Remote Opportunity
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking a Senior Flight-Operations Satellite Systems Engineer to lead the design, integration, and optimization of advanced satellite operations for LEO and MEO missions. In this…
Added 4 months ago
H
Satellite and Payload System Test Authority | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking an experienced Satellite and Payload System Test Authority to lead the planning, coordination, and execution of system-level testing for advanced satellite and payload…
Added 4 months ago
H
Payload System Software Integration Engineer | Hybrid/Remote Opportunity | Fastwater Staffing
HIKINEX
Remote, Canada
- Full-time
- Remote
We are seeking a Payload System Software Integration Engineer to lead the integration of software for advanced digital telecommunications payloads. In this role, you will coordinate…
Added 4 months ago
A
Staff Software Engineer, Shared Services ⭐
Achievers
Toronto, ON
- Full-time
…feature flag management, and the base libraries that every Go and Python service at Achievers is built on - all sitting at the critical path of everything we…
Added 2 months ago
Analyst, Project Controls
Aecon
Toronto, ON
Integrity. We lead by example, with humility and courage.
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
Lead discovery sessions and conduct needs analysis to identify opportunities where Morningstar solutions can deliver value.
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
Lead discovery sessions and conduct needs analysis to identify opportunities where Morningstar solutions can deliver value.
Added 4 months ago
MC
After School Program Assistant
Macaulay Child Development
Toronto, Ontario
- Up to $22.62 CAD / hour
- Part-time
The After School Program Assistant maintains safety, and supports the program lead in providing a consistently well-run, high quality program.
Added 2 months ago
Simulation (Houdini) - Technical Engineer
Sony Pictures Imageworks
Vancouver, BC
This role requires strong technical leadership and the ability to work effectively with minimal supervision alongside a Lead Software Engineer or Architect. The ideal candidate thrives in a…
Added 3 months ago
Développeur(euse) logiciel - Simulation (Houdini) / Simulation (Houdini) - Senior Technical Developer
Sony Pictures Imageworks
Montreal, Quebec
Maîtrise approfondie de Python et VEX pour l'écriture de nœuds personnalisés et efficaces, et de boîte à outils.
Added 4 months ago
HB
Senior DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
Reporting to the Lead DevOps Engineer at Haventree Bank, you will be responsible for designing, implementing and managing a secure and efficient DevOps process as well as cloud…
Added 2 months ago
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ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
…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…
Added 2 months ago
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ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
…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…
Added 2 months ago
Senior Software Enginner- Global Payments Engineering
Scotiabank
Toronto, ON · Scarborough, ON
Lead code and design reviews and help set best practices
Added 4 months ago
M
Senior Systems MTS, Synthetic Aperture Radar (SAR) Missions
MDA
Richmond, British Columbia
- Full-time
Lead technical solutioning for enhancements to existing and future SAR Missions; includes beam mode design, SAR mission concept design, and SAR image quality modelling
Added 4 months ago
M
Senior Site Reliability Engineer
Morningstar
Toronto, Ontario
- Full-time
Lead cross-team reliability initiatives, including disaster recovery planning, security compliance, and AWS resource optimization.
Added 4 months ago
TG
Senior Software Developer
TMX Group
Toronto, Ontario
- $120,000 to $130,000 CAD / year
- Full-time
We are looking for a Senior Software Developer who loves writing code but also enjoys thinking about how the entire system fits together. You will be a key player in our core development…
Added 2 months ago
Q
Senior Director, Technology
Qualcomm
Ottawa, ON
- Full-time
Lead the Ethernet/UALink/OTN ASIC IP architecture development for AI and datacenter.
Added 4 months ago
C
Principal Software Developer – Data Architect
Caseware
Toronto, Ontario
- Full-time
We are seeking a Principal Software Developer – Data Architect to drive the technical vision and architectural
Added 4 months ago
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Research Associate, Semiconductors & AI Infrastructure - 26229D
Enverus
Calgary, Alberta
- Full-time
The energy industry is changing fast. But we’ve continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power…
Added 4 months ago
KC
Senior Satellite Systems Designer - Platform Architect
Kepler Communications
Toronto, ON
- Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 4 months ago
KC
Satellite Systems Designer - Analysis & Support
Kepler Communications
Toronto, ON
- Full-time
…we’re committed to creating an environment where you can grow, lead, and make a global…
Added 2 months ago
Principal Engineer, Engineering Productivity & Tooling
Netskope
Toronto, ON
Lead the evaluation and integration of cutting-edge developer tools, including advanced automation and AI-powered solutions, to improve engineering velocity and productivity
Added 4 months ago
CS
Inference ML API SDET
Cerebras Systems
Toronto, Ontario
- Full-time
As a Senior Software Engineer in Test for the ML API features team, you will lead testing strategy and execution for AI/ML models, evaluating accuracy, fairness, and performance at scale.…
Added 2 months ago
Actuarial Expert - Pricing Modeling
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Moncton, NB · Thunder Bay, ON · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Lloydminster, AB · Dartmouth, NS · Edmonton, AB · Calgary, AB · Lethbridge, AB · North York - Toronto, ON (Hybr, ON
…modelling decisions, help shape future modelling priorities, and lead high-impact projects that support the development of efficient, accurate, and maintainable modelling…

NBCUniversal

ML Solutions Architect - Architecte de solutions ML

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

Full-time

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Job details

Job type: Full-time
Posting language: English · French
Posted: Sep 3, 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).
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 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 .

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).
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.
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 Information

Business Segment: NBCU Corporate

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More about this job

Responsibilities

Lead the high-level design and integration of ML models into a broader product suite, specifically interacting with real-time rendering engines. Act as a technical consultant to evaluate customer requirements and determine the optimal path between off-the-shelf solutions and specialized research.

Requirements

Requires a degree in Computer Science or Software Engineering with proven experience as a Software Architect or Systems Engineer. Must be proficient in Git, Unix, and multiple programming languages, with a deep understanding of deploying ML models in production environments.

Skills

Software Architecture
Machine Learning Integration
API Design
System Integration
Python
C++
C#
Git
Unix Shell
Containerization
Microservices
Message Brokers
Technical Consulting
Build vs Buy Analysis
Data Pre-processing
Real-time Rendering Engines

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
Deep Learning
Reinforcement Learning
Software Engineering
System Architecture
API
Microservices
Containerization
Python
C++
C#
Git
Unix
Real-time Rendering
Build vs Buy
Data Pre-processing
Data Post-processing
Scalable Architecture
Robotics
Game Development
Aerospace
Smart Grids
Precision Agriculture
NBCUniversal
Comcast

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