119 AI Systems jobs in Canada
AI Systems Developer
Posted today
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Job Description
Salary:
dcbel Inc. ( is a growing company developing technology and designing products that will make clean, efficient, and sustainable energy accessible to all because everyone in the world deserves energy without compromise.
dcbel at the leading edge of the residential energy revolution, enabling decentralized energy consumption and production through its vertically integrated suite of energy hardware and software products, and their supporting infrastructure. Our flagship product, the dcbel Home Energy Station, is a small wall mounted device that gives everyone ownership over their energy supply by using solar power to charge their EV and home, unlocking their EVs battery for backup power (V2H), and optimizing the energy flow between their solar panels, EVs, backup battery and the grid.
The opportunity
dcbel is looking for an AI Systems Developer to join our team. In this role, you will be responsible for designing, developing, and implementing AI systems and applications to enhance dcbel's technology offerings. You will work closely with cross-functional teams to create innovative AI solutions that align with business objectives and customer needs.
If this sounds like the role for you, we invite you to apply and help shape the future of our software solutions!
Main responsibilities
- Analyze the AI needs of the organization and propose innovative solutions.
- Design, develop, and maintain AI systems and applications.
- Collaborate with stakeholders to develop AI models.
- Integrate AI solutions to existing technologies
- Perform data mining and apply machine learning techniques.
- Perform testing and quality assurance of AI applications and systems.
- Keep up-to-date with the latest advancements and trends in AI.
- Train and educate staff about the potential and practical applications of AI.
- Ensure the ethical use of AI and compliance with data privacy regulations.
- Document and explain AI solutions to non-technical stakeholders.
- Optimize existing AI applications and systems for improved performance and functionality.
Key requirements
- University degree in Software Engineering or equivalent post-secondary education and/or experience required.
- 10+ years of experience working with AI software development languages such as C# and Python
- Proficiency in machine learning libraries and algorithms.
- Strong understanding of data structures, data modeling, and software architecture.
Bonus skills
- Bilingual English and French
Profile
- Proven track record in architecting and delivering large-scale AI solutions within enterprise environments.
- Commitment to ethical AI practices and data privacy compliance.
- Enthusiastic about continuous learning and proactively staying at the forefront of AI trends, advancements, and best practices.
- Excellent verbal and written communication skills, capable of tailoring complex concepts to both technical and business-focused audiences.
- Skilled at leveraging cross-functional collaboration to integrate AI capabilities across enterprise systems and processes.
- Strong sense of ownership, with the ability to work autonomously, prioritize tasks, and thrive in a fast-paced, rapidly evolving environment.
- Excellent problem-solving and decision-making skills.
- Innovator with a high energy level.
What's in it for you
- Be part of a company that is backed by numerous globally respected investors and has world-changing patents in an industry changing for the first time in history.
- Grow your professional experience amongst blue chip partners and a close-knit team of committed and experienced energy experts who deeply care about the work they do.
- Full benefits package including Health insurance, Health virtual care, employee stock options plan (ESOP) and flexible hours. Parking available or with our employer commute program a short walking distance from Metro Namur.
Senior Business Analyst, Process & AI Systems
Posted today
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Job Description
Senior Business Analyst, Process & AI Systems
Location: Calgary, Alberta
Employment Type: Full-time, Hybrid
Salary: Competitive, based on experience (~120k/yr) + Benefits + Performance Bonus
Define the systems and processes that power a high-growth tech platform.
About RippleAt Ripple, we are a high-growth PropTech company on a mission to redefine the experience of renting by revolutionizing how people access and manage services. Based in Calgary, we’re growing fast and doing big things—with 4.7 stars on Google from hundreds of happy customers who love our speed, transparency, and easy-to-use platform.
As we prepare to scale nationally, we are looking for a structured, process-oriented leader to build the operational blueprint that will power our expansion.
The RoleThis role is perfect for a Business Analyst who excels at translating complex business needs into clear, actionable plans and isn't afraid to get technical. You are a systems thinker and a natural problem-solver, skilled at understanding the big picture and documenting it with precision. As our Senior Business Analyst, you will be the glue between our business goals and our technology, ensuring that our processes are well-designed and our systems are configured to support our growth.
You will be in charge of defining the requirements for our operational systems, authoring the procedures that guide our team, and collaborating with Product Managers and leadership to build for the future.
What You'll Do- Analyze and Document Processes: Map current-state workflows, identify inefficiencies, and design optimized future-state processes that scale.
- Define Business Requirements: Author and maintain detailed Business Requirements Documents (BRDs) for new systems, features, and process improvements.
- Design & build intelligent workflows: Become the expert on our end-to-end customer journey, from onboarding to issue resolution, and re-design it for maximum efficiency.
- Operationalize AI Insights: Design and implement workflows that leverage our AI systems to automate decision-making, classify customer requests, and drive proactive service delivery.
- Create Standard Operating Procedures (SOPs): Write and manage a clear, comprehensive library of SOPs that ensures consistent and high-quality service delivery.
- Design System Integrations: Work with technical teams to understand API capabilities, document data flows, and define the logic for system integrations.
- Act as a key business stakeholder for product: Collaborate closely with our product and engineering teams to define requirements and translate operational needs into features for our core platform.
- System Configuration & Administration: Manage the configuration of key business applications, such as our CRM (HubSpot), to ensure they align with the defined business processes.
- Data-Driven Analysis: Use data to identify trends, support recommendations, and build business cases for new initiatives and improvements.
Requirements
Who You AreYou’re a master of organization, an exceptional communicator, and a structured thinker. You find satisfaction in creating clarity from complexity and are motivated by building robust, well-documented systems that empower a team to succeed.
We’d love to meet you if you have:
- A Bachelor’s degree in Business, Information Systems, or a related field.
- 5+ years of experience as a Business Analyst, Systems Analyst, or in a similar role within a tech-driven company.
- Demonstrated experience in requirements gathering, process mapping (using BPMN or similar notations), and stakeholder management.
- A proven track record of writing clear and detailed BRDs, SOPs, and other process documentation.
- Strong experience with CRM platforms like HubSpot.
- A solid understanding of REST APIs and how systems communicate.
- A team-first mindset and a willingness to wear multiple hats in a fast-growing environment.
Bonus points if you have:
- A Master’s degree or MBA in a related field.
- Experience with a scripting language (like Python or Google Apps Script) for light automation or data analysis.
- Experience using tools like Postman for API testing.
- Experience in a SaaS, platform, or marketplace company.
Benefits
Why Join Ripple?- You’ll be trusted and supported – You’re not just a number here. You’ll have real ownership over your responsibilities, and your ideas for making things better will be heard.
- You’ll be joining a top-rated team – With a 4.7-star rating on Google, we’re known for delivering an exceptional customer experience. We take pride in what we build.
- You’ll grow with us – As we expand, there’s opportunity to grow into a more senior operations or product role in the future.
- You’ll work in a fast, tech-forward environment – No clunky processes or outdated systems here. We love finding better, smarter ways to get things done.
- Base salary: Competitive and based on experience
- Stock Option Plan
- Performance bonus: up to 10% based on operational KPIs and project outcomes
- Hybrid work model with flexibility
- Extended Healthcare Plan (Medical, Disability, Dental & Vision)
- Paid Time Off Benefits
AI Creative Technologist & Systems Design Director
Posted 9 days ago
Job Viewed
Job Description
Marks North America
AI Creative Technologist & Systems Design Director
Marks is a global brand design and experience agency, uniquely constructed to enable brands to win in an age of constant change. Marks is a part of the Propelis Group, a brand impact group that enables it's household name clients to get there first - empowering acceleration on a global scale. From vision-building to detailed execution, we enable brands to move faster and shift impact. (
We are the next-gen creative platform, working at the collision of people, commerce, creativity and technology, purpose-built for the world’s most ambitious brand delivering content at the speed of culture.
Role
Marks NA is currently seeking a skilled and highly creative AI Creative Technologist & Systems Design Director to join our global Content Studio team (CGI, Photography, Retouching, Video and Post Production) to help produce exceptional visual content and enhance workflows through merging artistic vision and cutting-edge AI technologies. The ideal candidates will demonstrate a comprehensive understanding of motion, consumer packaging art, with an eye for quality, strong brand guardianship, and strong communication skills. As an AI Artist, you’ll work alongside our CGI, video and retouchers, as well as client services and producers to bring a high-level creative consistency and collaboration to our campaign projects.
Key Responsibilities
- Collaborate with cross-function and disciplined creative teams to conceptualize and develop high-end visual content using AI technologies.
- Create, refine, test and socialize detailed prompts to achieve high quality outputs.
- Help lead and develop internal adoption of AI tools and technologies across creative disciplines.
- Champion excellence in craft, pushing boundaries of creation, in the day-to-day workflows, projects and teams pushing transformational evolution of our craft skills, processes and deliverables with AI.
- Ensure AI-generated content aligns with brand guidelines and creating closed models and tools that are brand/client led.
- Provide creative solutions to adapt AI-generated visuals for campaigns, photo shoots, product launches, and other brand initiatives.
- Maintain a unified artistic direction and high creative standard in the creation of assets for a global brand, with an extensive range of brands and products
- Help lead the collaborative development and process of all work from inception to final delivery.
- Help establish and maintain a high level of quality control.
- Provide creative governance throughout the creative and production process.
- Develop AI briefs & outline feedback with internal creative team and production team.
- Assist in bridging gaps between client requests, creative direction, production artists to final internal quality control and client delivery.
Skills and Abilities
- Experience in art directing and visual storytelling for CPG brands and beyond.
- Expert knowledge of AI software including Adobe Firefly, Runway, MidJourney, DALL-E, Stable Diffusion, Chat GPT
- Proficient in the Creative Cloud Suite, including Photoshop, After Effects, Substance toolkit.
- Knowledge of 3D software's and render engines.
- A background in Photography or Retouching is a great asset.
- Deep understanding of the AI process from modelling, prompting, creating and developing workflows.
- Experience collaborating with a team of multi-disciplined artists through production workflow.
- Excellent creative and conceptual thinking skills.
- Ability to write and refine prompts to achieve desired AI outputs effectively.
- Strong communication and collaboration skills, with the ability to work in a fast-paced, deadline-driven environment.
- Knowledge of emerging technologies and their application in high-end creative industries.
- Demonstrated decision making skills and strong communication skills.
- Demonstrated ability to multi-task and work in a fast-paced environment.
- Demonstrated ability to share skills and knowledge with other team members.
- Ability to work both as part of a team and unsupervised.
- A keen eye for detail and the ability to produce high quality visuals to tight deadlines.
Minimum Qualifications
- Knowledge and interest in emerging technologies.
AI Creative Technologist & Systems Design Director
Posted 9 days ago
Job Viewed
Job Description
Marks North America
AI Creative Technologist & Systems Design Director
Marks is a global brand design and experience agency, uniquely constructed to enable brands to win in an age of constant change. Marks is a part of the Propelis Group, a brand impact group that enables it's household name clients to get there first - empowering acceleration on a global scale. From vision-building to detailed execution, we enable brands to move faster and shift impact. (
We are the next-gen creative platform, working at the collision of people, commerce, creativity and technology, purpose-built for the world’s most ambitious brand delivering content at the speed of culture.
Role
Marks NA is currently seeking a skilled and highly creative AI Creative Technologist & Systems Design Director to join our global Content Studio team (CGI, Photography, Retouching, Video and Post Production) to help produce exceptional visual content and enhance workflows through merging artistic vision and cutting-edge AI technologies. The ideal candidates will demonstrate a comprehensive understanding of motion, consumer packaging art, with an eye for quality, strong brand guardianship, and strong communication skills. As an AI Artist, you’ll work alongside our CGI, video and retouchers, as well as client services and producers to bring a high-level creative consistency and collaboration to our campaign projects.
Key Responsibilities
- Collaborate with cross-function and disciplined creative teams to conceptualize and develop high-end visual content using AI technologies.
- Create, refine, test and socialize detailed prompts to achieve high quality outputs.
- Help lead and develop internal adoption of AI tools and technologies across creative disciplines.
- Champion excellence in craft, pushing boundaries of creation, in the day-to-day workflows, projects and teams pushing transformational evolution of our craft skills, processes and deliverables with AI.
- Ensure AI-generated content aligns with brand guidelines and creating closed models and tools that are brand/client led.
- Provide creative solutions to adapt AI-generated visuals for campaigns, photo shoots, product launches, and other brand initiatives.
- Maintain a unified artistic direction and high creative standard in the creation of assets for a global brand, with an extensive range of brands and products
- Help lead the collaborative development and process of all work from inception to final delivery.
- Help establish and maintain a high level of quality control.
- Provide creative governance throughout the creative and production process.
- Develop AI briefs & outline feedback with internal creative team and production team.
- Assist in bridging gaps between client requests, creative direction, production artists to final internal quality control and client delivery.
Skills and Abilities
- Experience in art directing and visual storytelling for CPG brands and beyond.
- Expert knowledge of AI software including Adobe Firefly, Runway, MidJourney, DALL-E, Stable Diffusion, Chat GPT
- Proficient in the Creative Cloud Suite, including Photoshop, After Effects, Substance toolkit.
- Knowledge of 3D software's and render engines.
- A background in Photography or Retouching is a great asset.
- Deep understanding of the AI process from modelling, prompting, creating and developing workflows.
- Experience collaborating with a team of multi-disciplined artists through production workflow.
- Excellent creative and conceptual thinking skills.
- Ability to write and refine prompts to achieve desired AI outputs effectively.
- Strong communication and collaboration skills, with the ability to work in a fast-paced, deadline-driven environment.
- Knowledge of emerging technologies and their application in high-end creative industries.
- Demonstrated decision making skills and strong communication skills.
- Demonstrated ability to multi-task and work in a fast-paced environment.
- Demonstrated ability to share skills and knowledge with other team members.
- Ability to work both as part of a team and unsupervised.
- A keen eye for detail and the ability to produce high quality visuals to tight deadlines.
Minimum Qualifications
- Knowledge and interest in emerging technologies.
Senior Software Engineer, AI/ML Data Systems
Posted 7 days ago
Job Viewed
Job Description
25WD90074
**25WD90074,** **S** **enior Software Engineer, AI/ML Data Systems**
_French translation to follow!/Traduction française à suivre!_
**Position Overview**
Join us to design the core data systems powering both traditional machine learning and cutting-edge generative AI/LLM workflows. As a Senior/Principal Software Engineer, you'll specialize in one of two tracks:
+ **Data & Feature Store Infrastructure** : Build scalable backend systems for data ingestion, batch/streaming ETL pipelines, feature stores, vector-enabled APIs, and data compliance
+ **Labeling & Human Feedback Systems** : Design multimodal annotation platforms (text, image, audio, video, 3D), develop RLHF workflows (instruction tuning, output ranking), and drive LLM-assisted labeling innovations
You'll work closely with ML engineers, MLOps, and product teams to deliver high-impact data and labeling solutions at scale. Reporting to the Head of AI & ML Platform, you'll turn AI research into production-ready features that create real customer value.
**Responsibilities**
Choose one track to focus on:
**Data & Feature Store Infrastructure**
+ Design and implement scalable feature engineering systems for both batch and streaming computation
+ Build and maintain low-latency online feature serving systems with consistency between training and inference
+ Develop and maintain monitoring systems for feature freshness, data drift, and data quality
+ Integrate feature management solutions with vector databases to support embeddings and retrieval-augmented generation (RAG) workflows
+ Ensure compliance, lineage, and best practices for infrastructure as code
**Labeling & Human Feedback Systems**
+ Build and scale annotation platforms for diverse data types: text, image, video, audio, and 3D
+ Develop workflows for LLM alignment, including instruction tuning and RLHF (Reinforcement Learning from Human Feedback) output ranking
+ Embed LLM-assisted labeling features such as auto-labeling, policy checking, and active learning
+ Drive annotation quality through processes such as inter-annotator agreement, gold standard samples, and anomaly detection
+ Manage and scale internal/external labeling teams while maintaining secure data integration
**Minimum Qualifications**
+ 5+ years of experience in data engineering, ML platform, or backend development roles
+ Proficiency in at least one modern programming language (Python preferred)
+ Experience developing and operating distributed backend APIs and SDKs
+ Experience working with cloud platforms (AWS, GCP, or Azure), containers (Docker/Kubernetes), and infrastructure-as-code tools (e.g., Terraform)
**Plus, one of the following specialization experiences:**
**Feature Store Track** : _(At least have experience with_ **_TWO_** _of the following)_
+ Hands-on experience with feature store frameworks (e.g., SageMaker Feature Store, Feast, Tecton, Hopsworks), or operating vector database systems for serving LLM use cases
+ Experience with batch and/or streaming data pipelines (e.g., Kafka, Flink, Spark, Ray) and orchestration tools (e.g., Airflow, Argo Workflow)
+ Demonstrated experience at least in one the data areas: data catalog, data validation, versioning, lineage, and security/compliance
**Labeling Track:** **_(At least have experience with ONE of the following)_**
+ Proven working experience with labeling platforms (e.g., GroundTruth, Label Studio)
+ RLHF/instruction tuning, or annotation workflow development
**Preferred Qualifications**
+ Experience with LLM pipelines, including embeddings, retrieval-augmented generation (RAG), or prompt engineering
+ Familiarity with labeling copilot tools, active learning, or managing hybrid annotation teams
+ Knowledge of knowledge graphs or semantic data modeling
___
**25WD90074, Ingénieur logiciel senior, Systèmes de données IA/ML**
**Aperçu du poste**
Rejoignez-nous pour concevoir les systèmes de données centraux qui alimentent à la fois l'apprentissage automatique traditionnel et les workflows IA/LLM génératifs de pointe. En tant qu'ingénieur logiciel senior/principal, vous vous spécialiserez dans l'un des deux domaines suivants :
+ **Infrastructure de stockage des données et des fonctionnalités** : vous construirez des systèmes backend évolutifs pour l'ingestion de données, les pipelines ETL par lots/en continu, les magasins de fonctionnalités, les API compatibles avec les vecteurs et la conformité des données
+ **Systèmes d'étiquetage et de feedback humain** : vous concevrez des plateformes d'annotation multimodales (texte, image, audio, vidéo, 3D), développerez des workflows RLHF (ajustement des instructions, classement des résultats) et piloterez des innovations en matière d'étiquetage assisté par LLM
Vous travaillerez en étroite collaboration avec les ingénieurs ML, les MLOps et les équipes produit afin de fournir des solutions de données et d'étiquetage à fort impact et à grande échelle. Sous la responsabilité du responsable de la plateforme IA et ML, vous transformerez la recherche en IA en fonctionnalités prêtes à être mises en production et créant une réelle valeur ajoutée pour les clients.
**Responsabilités**
Choisissez un domaine dans lequel vous souhaitez vous spécialiser:
**Infrastructure de stockage des données et des fonctionnalités**
+ Concevoir et mettre en œuvre des systèmes d'ingénierie des fonctionnalités évolutifs pour le calcul par lots et en continu
+ Construire et maintenir des systèmes de service de fonctionnalités en ligne à faible latence, avec une cohérence entre l'entraînement et l'inférence
+ Développer et maintenir des systèmes de surveillance pour la fraîcheur des fonctionnalités, la dérive des données et la qualité des données
+ Intégrer des solutions de gestion des fonctionnalités avec des bases de données vectorielles pour prendre en charge les workflows d'intégration et de génération augmentée par la récupération (RAG)
+ Garantir la conformité, la traçabilité et les meilleures pratiques pour l'infrastructure en tant que code
**Systèmes d'étiquetage et de feedback humain:**
+ Construire et faire évoluer des plateformes d'annotation pour divers types de données : texte, image, vidéo, audio et 3D
+ Développer des workflows pour l'alignement LLM, y compris le réglage des instructions et le classement des résultats RLHF (apprentissage par renforcement à partir du feedback humain)
+ Intégrer des fonctionnalités d'étiquetage assisté par LLM telles que l'étiquetage automatique, la vérification des politiques et l'apprentissage actif
+ Améliorez la qualité des annotations grâce à des processus tels que la concordance entre annotateurs, les échantillons de référence et la détection des anomalies
+ Gérez et faites évoluer les équipes d'étiquetage internes/externes tout en maintenant une intégration sécurisée des données
**Qualifications minimales**
+ Au moins 5 ans d'expérience dans l'ingénierie des données, les plateformes ML ou le développement backend
+ Maîtrise d'au moins un langage de programmation moderne (Python préféré).
+ Expérience dans le développement et l'exploitation d'API et de SDK backend distribués
+ Expérience de travail avec des plateformes cloud (AWS, GCP ou Azure), des conteneurs (Docker/Kubernetes) et des outils d'infrastructure en tant que code (par exemple, Terraform)
**De plus, l'une des expériences de spécialisation suivantes:**
**Feature Store Track** : _(Au moins_ **_DEUX_** _des éléments suivants)_
+ Expérience pratique des frameworks de magasins de fonctionnalités (par exemple, SageMaker Feature Store, Feast, Tecton, Hopsworks) ou de l'exploitation de systèmes de bases de données vectorielles pour des cas d'utilisation LLM
+ Expérience des pipelines de données par lots et/ou en streaming (par exemple, Kafka, Flink, Spark, Ray) et des outils d'orchestration (par exemple, Airflow, Argo Workflow)
+ Expérience avérée dans au moins un des domaines suivants : catalogue de données, validation des données, gestion des versions, lignage et sécurité/conformité
**Labeling Track:** **_(Au moins une expérience dans l'un des domaines suivants)_**
+ Expérience professionnelle avérée avec des plateformes de labellisation (par exemple, GroundTruth, Label Studio)
+ RLHF/réglage des instructions ou développement de workflows d'annotation
**Qualifications souhaitées**
+ Expérience avec les pipelines LLM, y compris les intégrations, la génération augmentée par la récupération (RAG) ou l'ingénierie de prompts
+ Connaissance des outils de copilotage de l'étiquetage, de l'apprentissage actif ou de la gestion d'équipes d'annotation hybrides
+ Connaissance des graphes de connaissances ou de la modélisation sémantique des données
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l'être. Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu'Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance où chacun peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
Senior Software Engineer, AI/ML Data Systems
Posted 7 days ago
Job Viewed
Job Description
25WD90074
**25WD90074,** **S** **enior Software Engineer, AI/ML Data Systems**
_French translation to follow!/Traduction française à suivre!_
**Position Overview**
Join us to design the core data systems powering both traditional machine learning and cutting-edge generative AI/LLM workflows. As a Senior/Principal Software Engineer, you'll specialize in one of two tracks:
+ **Data & Feature Store Infrastructure** : Build scalable backend systems for data ingestion, batch/streaming ETL pipelines, feature stores, vector-enabled APIs, and data compliance
+ **Labeling & Human Feedback Systems** : Design multimodal annotation platforms (text, image, audio, video, 3D), develop RLHF workflows (instruction tuning, output ranking), and drive LLM-assisted labeling innovations
You'll work closely with ML engineers, MLOps, and product teams to deliver high-impact data and labeling solutions at scale. Reporting to the Head of AI & ML Platform, you'll turn AI research into production-ready features that create real customer value.
**Responsibilities**
Choose one track to focus on:
**Data & Feature Store Infrastructure**
+ Design and implement scalable feature engineering systems for both batch and streaming computation
+ Build and maintain low-latency online feature serving systems with consistency between training and inference
+ Develop and maintain monitoring systems for feature freshness, data drift, and data quality
+ Integrate feature management solutions with vector databases to support embeddings and retrieval-augmented generation (RAG) workflows
+ Ensure compliance, lineage, and best practices for infrastructure as code
**Labeling & Human Feedback Systems**
+ Build and scale annotation platforms for diverse data types: text, image, video, audio, and 3D
+ Develop workflows for LLM alignment, including instruction tuning and RLHF (Reinforcement Learning from Human Feedback) output ranking
+ Embed LLM-assisted labeling features such as auto-labeling, policy checking, and active learning
+ Drive annotation quality through processes such as inter-annotator agreement, gold standard samples, and anomaly detection
+ Manage and scale internal/external labeling teams while maintaining secure data integration
**Minimum Qualifications**
+ 5+ years of experience in data engineering, ML platform, or backend development roles
+ Proficiency in at least one modern programming language (Python preferred)
+ Experience developing and operating distributed backend APIs and SDKs
+ Experience working with cloud platforms (AWS, GCP, or Azure), containers (Docker/Kubernetes), and infrastructure-as-code tools (e.g., Terraform)
**Plus, one of the following specialization experiences:**
**Feature Store Track** : _(At least have experience with_ **_TWO_** _of the following)_
+ Hands-on experience with feature store frameworks (e.g., SageMaker Feature Store, Feast, Tecton, Hopsworks), or operating vector database systems for serving LLM use cases
+ Experience with batch and/or streaming data pipelines (e.g., Kafka, Flink, Spark, Ray) and orchestration tools (e.g., Airflow, Argo Workflow)
+ Demonstrated experience at least in one the data areas: data catalog, data validation, versioning, lineage, and security/compliance
**Labeling Track:** **_(At least have experience with ONE of the following)_**
+ Proven working experience with labeling platforms (e.g., GroundTruth, Label Studio)
+ RLHF/instruction tuning, or annotation workflow development
**Preferred Qualifications**
+ Experience with LLM pipelines, including embeddings, retrieval-augmented generation (RAG), or prompt engineering
+ Familiarity with labeling copilot tools, active learning, or managing hybrid annotation teams
+ Knowledge of knowledge graphs or semantic data modeling
___
**25WD90074, Ingénieur logiciel senior, Systèmes de données IA/ML**
**Aperçu du poste**
Rejoignez-nous pour concevoir les systèmes de données centraux qui alimentent à la fois l'apprentissage automatique traditionnel et les workflows IA/LLM génératifs de pointe. En tant qu'ingénieur logiciel senior/principal, vous vous spécialiserez dans l'un des deux domaines suivants :
+ **Infrastructure de stockage des données et des fonctionnalités** : vous construirez des systèmes backend évolutifs pour l'ingestion de données, les pipelines ETL par lots/en continu, les magasins de fonctionnalités, les API compatibles avec les vecteurs et la conformité des données
+ **Systèmes d'étiquetage et de feedback humain** : vous concevrez des plateformes d'annotation multimodales (texte, image, audio, vidéo, 3D), développerez des workflows RLHF (ajustement des instructions, classement des résultats) et piloterez des innovations en matière d'étiquetage assisté par LLM
Vous travaillerez en étroite collaboration avec les ingénieurs ML, les MLOps et les équipes produit afin de fournir des solutions de données et d'étiquetage à fort impact et à grande échelle. Sous la responsabilité du responsable de la plateforme IA et ML, vous transformerez la recherche en IA en fonctionnalités prêtes à être mises en production et créant une réelle valeur ajoutée pour les clients.
**Responsabilités**
Choisissez un domaine dans lequel vous souhaitez vous spécialiser:
**Infrastructure de stockage des données et des fonctionnalités**
+ Concevoir et mettre en œuvre des systèmes d'ingénierie des fonctionnalités évolutifs pour le calcul par lots et en continu
+ Construire et maintenir des systèmes de service de fonctionnalités en ligne à faible latence, avec une cohérence entre l'entraînement et l'inférence
+ Développer et maintenir des systèmes de surveillance pour la fraîcheur des fonctionnalités, la dérive des données et la qualité des données
+ Intégrer des solutions de gestion des fonctionnalités avec des bases de données vectorielles pour prendre en charge les workflows d'intégration et de génération augmentée par la récupération (RAG)
+ Garantir la conformité, la traçabilité et les meilleures pratiques pour l'infrastructure en tant que code
**Systèmes d'étiquetage et de feedback humain:**
+ Construire et faire évoluer des plateformes d'annotation pour divers types de données : texte, image, vidéo, audio et 3D
+ Développer des workflows pour l'alignement LLM, y compris le réglage des instructions et le classement des résultats RLHF (apprentissage par renforcement à partir du feedback humain)
+ Intégrer des fonctionnalités d'étiquetage assisté par LLM telles que l'étiquetage automatique, la vérification des politiques et l'apprentissage actif
+ Améliorez la qualité des annotations grâce à des processus tels que la concordance entre annotateurs, les échantillons de référence et la détection des anomalies
+ Gérez et faites évoluer les équipes d'étiquetage internes/externes tout en maintenant une intégration sécurisée des données
**Qualifications minimales**
+ Au moins 5 ans d'expérience dans l'ingénierie des données, les plateformes ML ou le développement backend
+ Maîtrise d'au moins un langage de programmation moderne (Python préféré).
+ Expérience dans le développement et l'exploitation d'API et de SDK backend distribués
+ Expérience de travail avec des plateformes cloud (AWS, GCP ou Azure), des conteneurs (Docker/Kubernetes) et des outils d'infrastructure en tant que code (par exemple, Terraform)
**De plus, l'une des expériences de spécialisation suivantes:**
**Feature Store Track** : _(Au moins_ **_DEUX_** _des éléments suivants)_
+ Expérience pratique des frameworks de magasins de fonctionnalités (par exemple, SageMaker Feature Store, Feast, Tecton, Hopsworks) ou de l'exploitation de systèmes de bases de données vectorielles pour des cas d'utilisation LLM
+ Expérience des pipelines de données par lots et/ou en streaming (par exemple, Kafka, Flink, Spark, Ray) et des outils d'orchestration (par exemple, Airflow, Argo Workflow)
+ Expérience avérée dans au moins un des domaines suivants : catalogue de données, validation des données, gestion des versions, lignage et sécurité/conformité
**Labeling Track:** **_(Au moins une expérience dans l'un des domaines suivants)_**
+ Expérience professionnelle avérée avec des plateformes de labellisation (par exemple, GroundTruth, Label Studio)
+ RLHF/réglage des instructions ou développement de workflows d'annotation
**Qualifications souhaitées**
+ Expérience avec les pipelines LLM, y compris les intégrations, la génération augmentée par la récupération (RAG) ou l'ingénierie de prompts
+ Connaissance des outils de copilotage de l'étiquetage, de l'apprentissage actif ou de la gestion d'équipes d'annotation hybrides
+ Connaissance des graphes de connaissances ou de la modélisation sémantique des données
**Learn More / Plus d'information**
**About Autodesk /** **À propos d'Autodesk**
Welcome to Autodesk! Amazing things are created every day with our software - from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk - it's at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you're an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Bienvenue chez Autodesk ! Nos logiciels créent chaque jour des choses extraordinaires : des bâtiments les plus écologiques aux voitures les plus propres, en passant par les usines les plus intelligentes et les films à succès. Nous aidons les innovateurs à concrétiser leurs idées, transformant non seulement la façon dont les choses sont fabriquées, mais aussi ce qui peut l'être. Nous sommes très fiers de notre culture chez Autodesk ; elle est au cœur de tout ce que nous faisons. Notre culture guide notre façon de travailler et de nous comporter les uns envers les autres, influence nos interactions avec nos clients et nos partenaires, et définit notre image au monde. En tant qu'Autodeskien, vous pouvez accomplir un travail significatif qui contribue à bâtir un monde meilleur, conçu et réalisé pour tous. Prêt à façonner le monde et votre avenir ? Rejoignez-nous !
**Salary transparency /** **Transparence salariale**
Salary is one part of Autodesk's competitive compensation package. Offers are based on the candidate's experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.
Le salaire est l'un des éléments du programme de rémunération concurrentiel d'Autodesk. Pour les postes basés au Canada (Colombie-Britannique), nous proposons un salaire de base compris entre X et X dollars. Les offres sont basées sur l'expérience et la situation géographique du candidat et peuvent dépasser cette fourchette. En plus du salaire de base, notre programme de rémunération peut inclure des primes annuelles en espèces, des commissions pour les postes commerciaux, des attributions d'actions et un ensemble complet d'avantages sociaux.
**Diversity & Belonging /** **Diversité et appurtenance**
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: sommes fiers de cultiver une culture d'appartenance où chacun peut s'épanouir. Pour en savoir plus, cliquez ici : you an existing contractor or consultant with Autodesk?**
**Êtes-vous un sous-traitant ou un consultant existant d'Autodesk ?**
Please search for open jobs and apply internally (not on this external site).
Veuillez rechercher des emplois vacants et postuler à l'interne (pas sur ce site externe).
Operations Project Lead (Systems & AI Automation Focus)
Posted today
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Job Description
Job Description
About the role
We’re hiring a curious, hands-on operator to own and deliver internal operations projects and bring AI/automation into everyday workflows. You’ll coordinate stakeholders, manage timelines, experiment with modern tools, and turn improvements into simple, documented systems that save time and reduce errors.
This role reports to leadership and partners closely across teams.
What you’ll do
- Lead priority ops projects end-to-end: plan, track, unblock, and land deliverables.
- Shadow teams to learn workflows, surface root-cause issues, and propose pragmatic fixes.
- Identify, test, and implement AI/automation (e.g. Replit, Zapier, Power Automate, AppSheet, GPT/LLMs, etc.) for time savings.
- Manage external contractors/resources ; influence internal stakeholders to hit milestones.
- Create concise SOPs, checklists, and short Looms so improvements stick.
- Report weekly on progress, impact, and next steps.
- 3–5 years in project management, operations, or process improvement (industry-agnostic).
- Strong self-learner with hands-on curiosity for automation/AI tools.
- Excellent coordination, communication, and follow-through; comfortable influencing without authority.
- Bias to simplify, automate first, delegate second.
Your first 90 days (outcomes)
- Deliver 20+ hours/month of time savings across the team (≥ 10 hours from management tasks).
- Complete 2–3 backlog projects to production use with measurable outcomes.
- Present a 6–12 month roadmap of operational priorities and automation opportunities.
- Stand up a lightweight project reporting framework (progress, ROI, blockers).
- Document 3–4 AI tools tested with fit assessments.
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Researcher - Optical & Photonic Systems for AI Computing
Posted 16 days ago
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Job Description
Huawei Canada has an immediate permanent opening for a Researcher.
About the Team:
Huawei Canada's Advanced Optical Technology Lab focuses on advanced R&D in high-performance optical communications and networking. Our expert team specializes in transmission algorithms, systems, physics, and optical network management. The lab engages in projects ranging from deep research to developing key product features, actively participating in standards organizations and collaborative research with partners. Our multicultural environment fosters innovation, mentorship, and a passion for learning. If you thrive on solving complex technical challenges, this lab is your ideal place.
About the Job:
Explore innovative photonic technologies and contribute to the development of advanced interconnects and system-level optimizations.
Contribute to research and evaluation of optical and photonic technologies for AI compute interconnects.
Analyze technology trends and support feasibility studies on applying optics to distributed AI workloads.
Assist in prototyping, testing, and validating new concepts in collaboration with design and product teams.
Support modeling of system-level performance and explore how photonic advances can improve computing efficiency.
Document findings and contribute to technical discussions and reports.
Intern, Integration of AI in business and information systems (winter 2026)
Posted 8 days ago
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Job Description
Bombardier is a global leader in aviation, creating innovative and game-changing planes. Our products and services provide world-class experiences that set new standards in passenger comfort, energy efficiency, reliability and safety. We are a global organization focused on working together with a team spirit.
**Your boarding pass will include.**
Several conferences, including:
+ Meet An Executive
+ Women Taking Flight
Learning more about Bombardier, including:
+ Bombardier Products conference
+ Visits of the Bombardier sites
+ Bombardier Academy of Learning
Many social/networking opportunities, including:
+ Volunteering
+ Networking for Success
+ 5 à 7, Potluck, and much more!
**What are your contributions to the team?**
+ Identify, support, and collaborate on AI-driven initiatives under the sponsorship of a leader
+ Identify and recommend potential use cases
+ Demonstrate clear benefits of use cases selected
+ Change management / mindset changes within the team demonstrating with use cases the power of AI
**How to thrive in this role?**
+ You have strong analytical thinking & communication skills
+ You are currently enrolled in a university program studying Computer Science or related field
+ You are passionate about AI and more specifically Generative AI (GenAI) technologies
+ You have knowledge of prompt engineering and Microsoft Copilot Studio is a strong asset
+ You are fluent in English with a good understanding of French
**Boarding Information:**
+ Location: Administrative Centre (CA)
+ Duration: 8 months
+ Flexible workplace-Hybrid
_It is important to note that our internship opportunities are open to students only, not new graduates. All our interns may be required to occasionally travel outside of Canada for training/work purpose._
: Lead Applied Mathematician – AI Algorithm Development for Defense Vision Systems
Posted 9 days ago
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Job Description
“Help shape the mathematical core of next-generation intelligent systems — from strategic vision to edge execution.”
Location: Remote / Hybrid / On-site (flexible based on candidate profile)
Security Clearance: Eligibility Preferred
Employment Type: Full-Time / Contract-Based (initial 12–18 months, with extension options)
About the Role
We are looking for an exceptional Applied Mathematician to lead the algorithmic design of a groundbreaking AI system focused on image recognition and intelligent reasoning for military applications. This role is critical to the development of a next-generation AI framework based on successive approximation, heuristics, and computational geometry, enabling real-time decision-making in mission-critical environments.
You will work closely with AI/ML engineers, system architects, and infrastructure specialists to convert theoretical models into operational capabilities for perception systems, situational awareness, trajectory modeling, sensor fusion, and autonomous behaviors.
Key Responsibilities
- Design novel algorithms grounded in successive approximation, numerical analysis, and iterative convergence.
- Apply computational geometry, discrete optimization, and probabilistic reasoning to enhance computer vision and AI reasoning pipelines.
- Define and formalize convergence strategies, heuristic frameworks, and evaluation metrics tailored to specific military scenarios (e.g., object detection, trajectory generation, RF/thermal fusion).
- Collaborate with AI/ML engineers to integrate mathematical models into machine learning workflows and inference systems.
- Develop simulation environments to test and refine mathematical models under uncertainty, noise, and adversarial conditions.
- Provide mathematical oversight for AI systems operating on edge devices, UAVs, satellite imaging platforms, and real-time targeting systems.
- Document mathematical theory, modeling assumptions, and architectural blueprints for research continuity and IP protection.
Required Qualifications
- PhD in Mathematics, Applied Mathematics, Computational Mathematics, or equivalent field.
- 5+ years of experience applying mathematics in AI, defense, simulation, or high-performance computing systems.
- Deep understanding of:
- Successive approximation, fixed-point theory, and error convergence
- Optimization theory and discrete math
- Computational geometry, matrix algebra, and vector space transformations
- Probabilistic models (e.g., Bayesian inference, MCMC, statistical learning)
- Proficiency in mathematical programming tools such as Python (NumPy, SciPy), MATLAB, Mathematica, or Julia.
Preferred Qualifications
- Experience in AI/ML algorithm design (e.g., custom loss functions, optimization kernels).
- Familiarity with computer vision algorithms and geometric modeling for:
- Object detection and classification
- SLAM, spatial segmentation, 3D modeling
- Exposure to reinforcement learning or heuristic-guided search models.
- Knowledge of adversarial reasoning, anomaly detection, and signal processing for real-time inference systems.
- Publications, patents, or peer-reviewed contributions in applied mathematics or AI modeling.
- Understanding of security-sensitive environments and military-grade system constraints.
What We Offer
- Opportunity to work on cutting-edge national security and defense AI initiatives.
- A founding-level position with architectural and scientific influence.
- Competitive compensation and flexible work structure.
- Collaboration with an elite, multidisciplinary team across AI, defense tech, and R&D.
- Potential for long-term leadership in building a modular AI platform applicable to defense, aerospace, and critical infrastructure.
Application Instructions
Please send the following materials to ( ) :
- CV or Resume (with publication list if applicable)
- Statement of interest (1–2 paragraphs on your mathematical background and how it aligns with defense AI challenges)
- (Optional) Samples of mathematical models, publications, or code