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Added 6 days ago
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Senior Software Engineer
BCI
Victoria, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 6 days ago
SE
Combustion IPTL
Siemens Energy
Montreal, QC
- Full-time
As a Combustion Integrated Project Team (IPT) Lead, you will work on sustaining and extending Siemens Energy’s aeroderivative gas turbine technology. In this role, you will guide the…
Added 6 days ago
B
Senior Software Engineer
BCI
Vancouver, BC
- $106,000 to $128,000 CAD / year
- Full-time
Strong software engineering fundamentals: experience designing and building full stack applications in Python and/or JavaScript/TypeScript (e.g. FastAPI, Flask, Node.js, Next.js, React),…
Added 6 days ago
T
AVP, AI & Innovation
TD
Toronto, ON
- Full-time
Lead the Applied AI and Innovation capability for TD Securities and build a high-performing team of applied AI specialists. Identify advances in AI that matter to the business and translate…
Added 6 days ago
CE
Senior Advisor, Program Planning & Scheduling
Cenovus Energy
Calgary, AB
- Full-time
The Senior Advisor, Program Planning & Scheduling will also lead planning and scheduling practices, promote consistent governance, and improve processes through standardization, automation,…
Added 6 days ago
E
Applied Researcher 3
eBay
Toronto, ON
- Full-time
…direction and identify new opportunities for applied research, lead ambiguous problems from initial investigation through production impact, influence senior technical and product…
Added 6 days ago
Senior Software Engineer II - Agentic SDLC
Prenuvo
Canada
…across our domestic and global clinics, have allowed us to lead the change against “we caught it too late…
Added 6 days ago
RC
Guidewire Test Lead – P&C Insurance Domain
Realtek Consulting LLC
Markham, ON
- Contract
Job Title: Guidewire Test Lead – P&C Insurance Domain
Added 6 days ago
HT
Software Validation Technologist
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 6 days ago
CC
Full Stack Engineer
Credit Counselling Society
New Westminster, BC
- Full-time
Lead by example, setting high standards for technical excellence and professionalism.
Added 6 days ago
PF
Data Analyst 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Reporting to the Lead Data Engineer, the Data Analyst 1 supports business decision-making through hands-on data analysis, reporting, and insight generation. This role works closely with…
Added 6 days ago
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Business Data Analyst
LawDepot
Remote, Canada
- Full-time
- Remote
Lead multiple analytical initiatives, using findings to recommend clear next steps and inform priorities
Added 6 days ago
FT
Senior Software Engineer
Franklin Templeton
Toronto, ON
- Full-time
Lead code reviews, best practices, and reusable frameworks
Added 6 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
As Manager, Model Risk Management, you will lead a team of model risk professionals and oversee independent model validation, governance and reporting activities across EDC. You will…
Added 6 days ago
SB
Senior Analyst, Commercial Analytics & Revenue Growth Management
Sleeman Breweries Ltd.
Guelph, ON
- Full-time
Lead analytical workstreams from problem definition through analysis, recommendation development, and executive-level presentation.
Added 6 days ago
BR
Perception Engineer
BHF Robotics
Markham, ON
- Full-time
Proficiency in C++, Python, or other relevant programming languages, with solid skills in object-oriented software development.
Added 6 days ago
CE
Cost Analyst
Cenovus Energy
Calgary, AB
- Full-time
Independently manage an assigned portfolio of Well Delivery work tickets and lead responses and follow-up activities for the function
Added 6 days ago
HI
Business Intelligence Partner
HUB International
Toronto, ON · Oakville, ON
- Full-time
Are you ready to lead the analytics function that shapes how our business makes decisions? We’re seeking a Business Intelligence Partner to join our Operations & Business Intelligence team…
Added 6 days ago
IL
Automation Engineer, Lab Automation & Robotics
Intrepid Labs
Toronto, ON
- Full-time
…hardware and writing the software that drives it. Reporting to the Lead Automation Engineer, you will build, integrate, test, and support automated laboratory workflows: robotic arms,…
Added 6 days ago
MS
Application Development Team Management : Job Level - Executive Director
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as an Executive Director to lead the strategy, adoption, and delivery of a cloud-native platform-as-a-service ecosystem that enhances resiliency,…
Added 6 days ago
T
System Administrator - Digital Media & Technology
Truelogic
Remote, Canada
- Full-time
- Remote
Automation & Scripting: Develop scripts (Python, Bash, etc.) to automate repetitive IT tasks, deployments, and system integrations.
Added 6 days ago
Senior Software Engineer
Electronic Arts
Vancouver, BC
…the technology, large-scale test automation, and AI-powered developer tools that help our EA SPORTS FC teams understand game quality and decide when we are ready to ship. We work closely…
Added 6 days 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 6 days ago
BO
Senior Data Scientist, Economics & AI
Bank of Canada
Ottawa, ON
- Full-time
As a Senior Data Scientist, you will lead complex analytical initiatives that advance economic research, forecasting, policy analysis, and evidence-based decision-making. Drawing on…
Added 6 days ago
M
Business Strategic Insights – Client Analytics Lead
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Reporting to the AVP, Head of Portfolio Data & Analytics, the role of Business Strategic Insights – Client Analytics Lead will support Manulife Bank’s strategic ambition to deepen…

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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