16 Data Science jobs in Quebec

L’Expert IA (Machine Learning) contribuera activement au développement de modèles d’apprentissage profond et à l’amélioration continue de l’infrastructure de traitement de données.

PLUS PRÉCISÉMENT

• Concevoir des pipelines de données pour la collecte, le traitement et l’analyse de vastes ensembles de données

• Développer et entraîner des modèles de langage et des architectures d’apprentissage profond à grande échelle

• Mener des expérimentations et optimiser les performances des modèles déployés

• Mettre en place des processus de surveillance et d’amélioration continue des modèles en production

• Collaborer avec des équipes multidisciplinaires pour intégrer les modèles aux opérations de négociation électronique

PROFIL

• 5+ années d’expérience en apprentissage automatique, apprentissage profond ou intelligence artificielle

• Expérience en développement, entraînement et déploiement de modèles de langage et de séries temporelles à grande échelle

• Fortes connaissances en Python (Pytorch ou TensorFlow), SQL, Linux, Git, BASH

• BAC en informatique ou l’équivalent

• Maîtrise du français et de l’anglais requise (oral et écrit), pour travailler efficacement avec une équipe internationale

Job Description

Company Description

Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assassin’s Creed, Rainbow Six to Just Dance and more. We believe diverse perspectives help both players and teams thrive. If you’re passionate about innovation and pushing entertainment boundaries, join our journey and help us create the unknown!

The Data Platform Group , part of the Ubisoft Data Office within Ubisoft IT, develops Ubisoft's data platform and manages data services and tools for all of the company's data. As a trusted enterprise-wide resource, our products offer the tools and data infrastructure needed for the development of data services and products by all Ubisoft teams.

The Machine Learning Developer - AI/ML role contributes to the establishment, maintenance, and evolution of the platform and internal tools to enable the development and deployment of machine learning models. The person works closely with online system and operations specialists, programmers and data scientists. The specialist is responsible for the optimization of processes for the production launch of machine learning projects. The person is responsible for ensuring the security, robustness and performance of machine learning solutions during production deployments.

 

What you'll do

• Govern and contribute to the industrialization of ML/AI projects, focusing on the deployment and maintenance of pipelines and models in production.
• Contribute to the identification of new or improved approaches and technical tools.
• Acting as a consultant to guide technologies and/or advising on proofs of concept for forecasting/prescribing and AI projects.
• Design and implement services, tests, and interfaces that support the deployment of ML projects.
• Ensure the security, robustness, and performance of ML solutions during production deployments.
• Design and implement scalable, continuous, and automated processes for deploying, monitoring, and versioning ML models.
• Guide, collaborate, and support users in optimizing ML pipelines, by becoming an expert on the Databricks platform.
• Mentor and engage ML/AI practitioners at Ubisoft, sharing knowledge and best practices in ML Ops.
• Participate in proof-of-concept projects, advancing knowledge of new ML technologies.

• 3 to 5 years of complex experience and in-depth expertise related to the position.
• Team player and excellent organizational, interpersonal and communication skills.
• Passion for leveraging data science in problem solving.
• Ability to assess problems quickly, both qualitatively and quantitatively.
• Ability to navigate between the big picture and the details of Data Science / ML Engineering, with a strong programming background with Java, Scala or Python.
• Experience in Machine Learning, Data Science, or a related field, with a focus on improving model and data quality, and the proven ability to build automated AI processes and manage large-scale data pipelines.
• Experience in deploying models, setting up model validation, and operationalizing AI/ML systems at scale in production environments.
• Experience with ML concepts, tools such as MLFlow, and frameworks/libraries like Scikit-learn, PyTorch, XGBoost. Experience with Databricks is an asset.
• Knowledge of Big Data—Spark, PySpark, data engineering, and pipeline architecture technologies is essential.
• Have a foundation in software engineering principles and proficiency in DevOps tools and practices
• Bachelor's or Master's degree in Computer Science, Computer Engineering, or Software or equivalent.

We embrace a hybrid work model  helping you stay connected with your team and aligned with business priorities, while giving you the opportunity to maintain your work-life balance. Note, that some roles are fully office-based and are not eligible for hybrid work.

Just a heads up: If you require a work permit, your eligibility may depend on your education and years of relevant work experience, as required by the government.

Skills and competencies show up in different forms and can be based on different experiences, that's why we strongly encourage you to apply even though you may not have all the requirements listed above.

At Ubisoft, you can come as you are. We embrace diversity in all its forms. We’re committed to fostering a work environment that is inclusive and respectful of all differences

Job Description

Play a key role in shaping MLOps best practices

As a Senior Machine Learning Developer on the ML Platform team, you will work on a suite of tools to support the teams of applied scientists in deploying, orchestrating and productionalizing ML models at scale.

Your primary responsibility will be to create and maintain tooling, libraries and workflows that enable the efficient development of robust, scalable, and maintainable ML models. You will also work closely with Applied Scientists to accelerate the iteration and experimentation process, ensuring faster and more effective model development.

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.

We solve real problems with real data, for hundreds of large enterprise clients all around the world, on a modern platform that serves over 100M requests and automatically trains thousands of ML models on a daily basis.

• Provide end-to-end ML tooling from data exploration to production deployment tooling.
• Facilitate development, deployment, automated testing, monitoring and debugging of ML models
• Analyze and improve the performance of our models and ML Platform to help meet critical SLOs for training models at scale and low-latency inference.
• Facilitate the adoption and usage of ML platform and observability resources and provide guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Evolve our modern tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

• You have 5+ years of Machine Learning industry experience.
• You have operationalized, instrumented and supported ML models in production at a non-trivial scale before
• You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable ML teams to deliver reliable production code in an efficient manner.
• You enjoy collaborating with scientists to understand their pain points and figure out how to improve their tools and increase their efficiency. You also have experience working in cross-functional teams.

• You master best practices in MLOps, ML engineering, and large-scale deployment of ML models.
• You have experience maintaining and evangelizing internal resources and libraries.
• You have acquired considerable MLOps experience hosting models at scale, by previously building tooling to facilitate data exploration and experimentation as well as automating and orchestrating complex and efficient training pipelines
• You are recognized for your communication skills and presenting complex technical subjects to audiences with different levels of technical proficiency.

Do you think you can bring this role to life?

You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.
Send us your CV, we want to get to know you! Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.

#li-hybrid #li-remote

Job Description

Streamline the deployment of Machine Learning models

As a Senior Machine Learning Developer in R&D, you will play a key role in supporting the teams of applied scientists by building ML systems that are reliable, scalable and easy to maintain, as well as helping them iterate on experiments faster.

Your mission? Use your technical leadership influence to guide our ambitious AI technological vision of bringing the latest advances in the domain to a wide range of enterprise commerce clients.

The ML unit at Coveo focuses on finding ways to apply the latest advances in Recommender Systems, Ranking Optimization, LLMs and NLP to build innovative solutions in e-commerce, self-service and other business verticals.

We solve real problems with real data, for hundreds of large enterprise clients all around the world, on a modern platform that serves over 100M requests and automatically trains thousands of ML models on a daily basis.

• Help streamline the development life-cycle of ML models: conception, implementation, automated testing, deployment, monitoring, etc.
• Analyze and improve the performance of our models and systems – including meeting critical SLOs for training models at scale and low-latency inference.
• Maintain and improve several of our most important client-facing product features.
• Facilitate the adoption and utilization of ML platform and observability resources and guidelines to improve operational efficiency and service reliability.
• Engage with your community of peers to challenge the status quo, improve our shared ways of working, and influence overall architecture decisions.
• Evolve our modern tech stack which includes Python, AWS, Kubernetes, Pytorch, Terraform, Snowflake, Honeycomb and others

• You have 5+ years of Machine Learning industry experience.
• You have operationalized, instrumented and supported AI models in production at a non-trivial scale before
• You are fluent in good data and software engineering practices, and you are able to develop the tools and culture which enable your team to deliver reliable production code in an efficient manner.

• You enjoy collaborating with scientists on a daily basis to understand their pain points and figure out how to improve their tools and increase their efficiency. You also have experience working in cross-functional teams.

• You master best practices in ML-Ops, ML engineering, and large-scale deployment of ML models.
• You are familiar with Data Lifecycle in ML and helped structure the data logic in ML projects before.
• You have experience maintaining and evangelizing internal resources and libraries.
• You are savvy in specific ML domains such as Natural Language Processing, Information Retrieval, Recommendation Systems, and the technical implications of building pipelines for such use cases.
• You are recognized for your communication skills and presenting complex technical subjects to audiences with different levels of technical proficiency.

You don't need to check every single box; passion goes a long way and we appreciate that skillsets are transferable.

Send us your CV, we want to get to know you! Join the Coveolife !

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background. We know that applying for a new role is a lot of work and we really appreciate your time.

Job Description

Salary:

Ce poste peut tre bas partout au Canada, ou aux tats-Unis, avec une prfrence pour le Canada, car nous sommes une entreprise 100 % tltravail. noter que le titre de poste l'interne sera: Chef de Produit (L5).

This role can be based anywhere in Canada or in the US, as we are a Remote first company (Canada preferred). Note that the internal job title will be Product Manager (L5).

English will Follow

propos de Talent.com

Talent.com est une plateforme demploi qui met en relation les chercheurs demploi et les employeurs dans plus de 50 pays. Nous cherchons des personnes talentueuses pour nous aider raliser notre mission : connecter le monde du travail. Notre environnement de travail dynamique offre de nombreuses occasions de dvelopper votre carrire tout en contribuant notre succs. Si vous aimez travailler en quipe, vous tes au bon endroit : la collaboration est au cur de nos faons de faire et est hautement valorise par notre quipe mondiale, peu importe la fonction, le dpartement ou le fuseau horaire. Vous voluerez dans une entreprise de technologies RH axe sur lhumain, o chaque voix compte. Joignez-vous nous et faites partie de notre quipe multiculturelle et diversifie!

Aperu du poste

En tant que Chef de produit Snior Donnes et apprentissage machine (ML), vous serez responsable dinitiatives fort impact qui exploitent les donnes et lapprentissage machine pour amliorer la recherche, la mise en relation et lefficacit de notre place de march. Vous voluerez dans un environnement rapide et entrepreneurial, o des problmes complexes et parfois ambigus doivent tre dcomposs, analyss et transforms en solutions concrtes. Ce rle exige un grand sens des responsabilits, une approche rigoureuse fonde sur les donnes et la capacit de livrer des rsultats mesurables, tant pour les chercheurs demploi que pour les employeurs.

Vos responsabilits

• Diriger la feuille de route des initiatives de recherche et de jumelage bases sur lIA/ML, incluant le classement, la personnalisation et loptimisation de la place de march.
• Traduire les objectifs daffaires en stratgies produits concrtes, fondes sur les donnes et accompagnes de rsultats mesurables.
• Collaborer avec les quipes dingnierie et de science des donnes pour dployer et amliorer les modles dapprentissage machine en production.
• Utiliser lexprimentation et lanalytique prdictive (tests A/B, cadres de mesure) pour orienter la prise de dcision.
• Dfinir les indicateurs de succs et les optimiser de faon continue.
• Communiquer clairement les compromis, les constats et les rsultats auprs des quipes techniques et commerciales.
• Dmystifier et simplifier les dcisions pilotes par lIA/ML pour les parties prenantes.
• Rester lafft des tendances en IA/ML et en technologies publicitaires, et introduire des approches innovantes dans notre place de march.

Exigences essentielles

• 6+ annes dexprience en gestion de produit, dont au moins 3 annes axes sur les produits en IA/ML, ad tech ou plateformes de march.
• Exprience dmontre dans le lancement et la mise lchelle de produits propulss par lIA/ML avec des retombes daffaires mesurables.
• Solides comptences analytiques et quantitatives avec un esprit ax sur les donnes.
• Exprience de collaboration troite avec des quipes dingnierie et de science des donnes.
• Excellente comprhension du cycle de vie en apprentissage machine (collecte de donnes, entranement, dploiement, suivi).
• Connaissance des plateformes dexprimentation et de lanalytique prdictive.

Atouts

• Baccalaurat en informatique, statistiques, gnie ou domaine connexe.
• Exprience avec des cadres de ML et de recherche (PyTorch, OpenSearch, Transformers).
• Familiarit avec les plateformes infonuagiques de donnes (AWS, RedShift, Athena).
• Diplme de 2e ou 3e cycle dans un domaine connexe.
• Exprience dans les produits lis aux places de march ou aux technologies publicitaires.

Ce que nous offrons

Les avantages standards chez Talent.com comprennent :

• Politique de tltravail flexible
• Salaire comptitif
• Politique gnreuse de vacances
• Structure organisationnelle horizontale et transparente
• Nombreux vnements corporatifs et de rseautage
• Une atmosphre multiculturelle, inspirante et conviviale avec une quipe de passionns

Nous tenons offrir un processus dembauche juste et transparent. Dans le cadre de nos pratiques de recrutement, il se peut que nous utilisions des outils dintelligence artificielle (IA) pour appuyer les entrevues des candidats. Ces outils servent valuer de faon uniforme les comptences lies au poste et sont toujours combins une rvision et une prise de dcision humaine.

Si vous avez des questions ou des proccupations concernant lutilisation de lIA dans notre processus dembauche, ou si vous prfrez une autre mthode dvaluation, veuillez nous en informer et il nous fera plaisir de vous accommoder.

nonc dquit en emploi

Nous sommes un employeur souscrivant au principe de lgalit des chances et nous valorisons la diversit au sein de notre entreprise. Nous accueillons les candidatures de toutes les personnes qualifies, sans gard la race, la couleur, la religion, le genre, lorientation sexuelle, lidentit ou lexpression de genre, lge, lorigine nationale, le handicap, le statut dancien combattant ou tout autre statut protg par la loi. Nous nous engageons offrir un processus de recrutement inclusif et accessible. Si vous avez besoin de mesures daccommodement quelque tape que ce soit, veuillez nous en informer.

___

About Talent.com

Talent.com is a job platform that matches job seekers with employers in more than 50 countries. We're seeking talented individuals to help us fulfill our mission of connecting the world to work. Our fast-paced environment offers many opportunities to grow your career while contributing to our success. If you are a team player, we are the right fit for you: collaboration is the cornerstone of our workflows and is highly valued by our global workforce, regardless of function, department, or time zone. You'll work in a people-focused HR tech company where every voice will be heard. Join us and become part of our multicultural and diverse team!

Position Overview

As a Product Manager (Data & Machine Learning), you will own high-impact initiatives thatleverage data and ML to improve search, matching, and marketplace efficiency. You will thrive in a fast-paced, entrepreneurial environment where complex and ambiguous problems need to be broken down, analyzed, and turned into actionable solutions. This role requires extreme ownership, data-driven decision-making, and the ability to deliver measurable results for both job seekers and employers.

What Youll Own and Drive

• Lead the roadmap for ML-driven search and matching, including ranking, personalization, and marketplace optimization.
• Translate business goals into actionable, data-backed product strategies with measurable outcomes.
• Partner with engineering and data science to ship and iterate ML models in production.
• Use experimentation and predictive analytics (A/B testing, metrics frameworks) to guide decisions.
• Define success metrics and continuously optimize against them.
• Communicate trade-offs, insights, and results clearly across technical and commercial teams.
• Simplify and demystify ML-driven decisions for stakeholders.
• Stay ahead of AI/ML and ad tech trends, introducing innovative approaches into the marketplace.

Must-Haves

• 6+ years of product management experience, including 3+ years focused on ML/data products, ad tech, or marketplaces.
• Proven track record of shipping and scaling ML-powered products with measurable business impact.
• Strong analytical and quantitative skills with a data-driven mindset.
• Experience collaborating closely with engineering and data science teams.
• Deep understanding of the ML lifecycle (data collection, training, deployment, monitoring).
• Familiarity with experimentation platforms and predictive analytics.

Nice to Haves

• Bachelors degree in Computer Science, Statistics, Engineering, or related field.
• Exposure to ML and Search frameworks (PyTorch, OpenSearch, Transformers).
• Familiarity with cloud data platforms (AWS, RedShift, Athena).
• Advanced degree in a related field.
• Marketplace or ad tech product experience.

What We Offer

Standard Talent.coms benefits include:

• Remote work Policy
• Competitive salary
• Generous vacation policy
• Flat and transparent organizational structure
• Frequent corporate and networking events
• A multicultural, inspiring and friendly atmosphere with a team of passionate people

We are committed to a fair and transparent hiring process. As part of our recruitment practices, we use an artificial intelligence (AI)based tool to support candidate interviews. This tool is designed to assess role-related qualifications in a consistent way and is always used together with human review and decision-making.
If you have any questions or concerns about the use of AI in our hiring process, or if you would prefer an alternative assessment method, please let us know and we will be happy to accommodate.

Equal Opportunity Statement

We are an equal opportunity employer and value diversity at our company. We welcome applications from all qualified candidates, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, disability, veteran status, or any other legally protected status. We are committed to providing an inclusive and accessible recruitment process. If you require accommodation at any stage, please let us know.

#LI-Remote