19 AI jobs in Montréal

Job Description

Job Description

We're seeking top-notch engineers to join our team. As part of our group, you'll collaborate with hardware and software engineers to design, develop, and optimize software for our chip, making AI inference accessible to everyone. You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs.

We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team. Your primary focus will be optimizing neural networks to efficiently run on our hardware and building a model optimization pipeline. If you thrive on pushing the boundaries of AI technology, this role is for you!

Requirements:

• Bachelor's degree in Computer Science, Engineering, or related field
• 5+ years of experience, with at least 2 years in both deep learning and software engineering
• Proficiency in deep learning frameworks like Tensorflow and/or PyTorch
• Experience with CNNs, LSTMs/RNNs, Transformers
• Strong math skills and Python proficiency
• Experience with C/C++

Preferred Skills & Experience:

• Master's or PhD in Computer Science, Engineering, or related field
• Experience in embedded or low-level programming
• Knowledge of CUDA/OpenGL
• Experience deploying neural networks in production
• Familiarity with model compression techniques like quantization, pruning, etc.

These are permanent full time remote positions.

Job Description

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.

Here is what makes this opportunity exciting:

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.

Here is a glimpse at your responsibilities:

• 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

Here is what will qualify you for the role:

• 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.

Here is what will make you stand out:

• 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

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!

Job Description

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.

Qualifications

• 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.

Additional Information

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

**Montreal, Canada**
**Développeur(se) de Données Sénior (Machine Learning) / Senior Data Developer (Machine Learning)**
Location
Montreal, Canada
Department
Data & Analytics
Requisition ID
JOBREQ-
**Role description**
**L'opportunité**
Nous recherchons un(e) développeur(se) de données senior expérimenté(e) avec une solide expérience en apprentissage automatique et un bilan éprouvé dans le secteur de l'AdTech. Dans ce rôle, vous serez un(e) contributeur(trice) clé à nos efforts en développement des données. Vous rejoindrez une équipe dédiée de développeur(se)s en apprentissage automatique pour vous concentrer spécifiquement sur l'amélioration et l'extension de nos Pipelines de données pour des modèles de Deep Learning à la fine pointe de la technologie. Ce travail est crucial pour développer et optimiser des solutions qui alimentent notre plateforme AdTech et permettent la prochaine génération de modèles d'apprentissage automatique pour notre activité publicitaire.
**Ce que vous allez faire**
+ Concevoir, mettre en œuvre et améliorer continuellement des Pipelines de données robustes et évolutifs pour l'apprentissage automatique, en mettant particulièrement l'accent sur le soutien aux modèles avancés de Deep Learning.
+ Collaborer étroitement avec des développeur(se)s en apprentissage automatique, des scientifiques des données et d'autres équipes inter-fonctionnelles pour comprendre les exigences commerciales et les traduire en solutions de données, modèles et algorithmes efficaces.
+ Gérer le cycle de vie complet des ensembles de données à grande échelle, y compris la collecte, le stockage, le traitement et l'optimisation pour les applications d'apprentissage automatique.
+ Développer et maintenir une infrastructure de données fiable capable de prendre en charge à la fois le traitement des données en temps réel et par lots.
+ Restez à jour avec les tendances et les avancées de l'industrie en AdTech, en ingénierie des données et en apprentissage automatique, en mettant en œuvre les meilleures pratiques pour élever nos capacités.
+ Encadrer les développeur(se)s en données juniors et contribuer à une culture d'excellence technique, d'innovation et d'apprentissage partagé.
+ S'assurer que toutes les pratiques de développement des données et les initiatives d'apprentissage automatique respectent les normes de confidentialité et de conformité des données.
**Ce que nous recherchons**
+ Diplôme de baccalauréat ou de maîtrise en informatique, ingénierie, mathématiques ou dans un domaine connexe.
+ Minimum de 5 ans d'expérience en ingénierie des données, avec un accent significatif sur la construction de systèmes et de pipelines pour des modèles d'apprentissage automatique, de préférence dans l'industrie de l'AdTech.
+ Compétent(e) dans des langages de programmation tels que Python, Scala ou Java.
+ Solide expérience avec des technologies de Big Data (par exemple, Flink, Spark) et des plateformes infonuagiques (par exemple, GCP de préférence, AWS).
+ Solide connaissance des concepts et des infrastructures d'apprentissage automatique (par exemple, TensorFlow, PyTorch), et expérience pratique avec le déploiement de modèles d'apprentissage automatique à grande échelle.
+ Capacité démontrée à prendre en charge et à mener à bien des projets complexes d'ingénierie des données et à collaborer efficacement au sein d'équipes inter-fonctionnelles.
+ Excellentes compétences en résolution de problèmes et capacité à s'épanouir dans un environnement dynamique et rapide.
**Information supplémentaire**
+ Le support à la relocalisation n'est pas disponible pour ce poste.
+ Un visa de travail ou un parrainage de l'immigration n'est pas disponible pour ce poste.
**La vie chez Unity**
Unity (NYSE: U) est la principale plateforme pour créer et développer des jeux ainsi que des expériences interactives. Des créateurs, allant du développeur de jeux aux artistes en passant par les architectes, les concepteurs automobiles, les experts en infrastructure, les cinéastes et plus encore utilisent Unity pour donner vie à leur imagination à travers plusieurs plateformes, notamment mobile, PC et console ainsi que l'informatique spatiale.
Au quatrième trimestre 2024, plus de 70% des 1000 jeux mobiles les mieux classés ont été réalisés avec Unity, et en 2024, les applications créées avec Unity ont enregistré en moyenne 3,7 milliards de téléchargements par mois. Pour plus d'informations, veuillez consulter le site Unity ( est un employeur fier de garantir l'égalité des chances. Nous nous engageons à favoriser un environnement inclusif et innovateur et à célébrer nos employés à travers l'âge, l'éthinicité, la couleur, l'ascendance, l'origine nationale, la religion, le handicap, le sexe, l'identité ou l'expression de genre, l'orientation sexuelle ou tout autre statut protégé conformément à la loi applicable. Si vous êtes en situation de handicap ou avez des besoins spécifiques nécessitant des aménagements pour que votre entretien se déroule dans les meilleures conditions, nous vous invitons à remplir ce formulaire ( afin de nous en informer et que nous puissions faire le nécessaire._
Ce poste exige que son ou sa titulaire possède une connaissance de l'anglais qui soit suffisante pour lui permettre d'avoir des échanges professionnels verbaux et écrits dans cette langue, puisque l'accomplissement des tâches liées à ce poste nécessite des communications fréquentes et régulières avec des collègues et partenaire situés à l'échelle mondiale et dont la langue commune est l'anglais.
Les chasseurs de têtes et les agences de recrutement ne peuvent pas soumettre résumes/CV par ce site Web ou directement aux superviseurs. Unity n'accepte pas des chasseurs de têtes non sollicités et des résumés (CV) d'agence. Unity ne payera pas d'honoraires à aucune agence tierce ou entreprise qui n'a pas signé d'ententes avec Unity.
La protection de votre vie privée est importante pour nous. Veuillez prendre un moment pour consulter nos politiques de confidentialité pour les prospects ( et les candidats ( . Si vous avez des questions concernant la protection de votre vie privée, veuillez nous contacter à
**The opportunity**
We are looking for an experienced Senior Data Developer with a strong background in machine learning and a proven track record in the AdTech sector. In this role, you will be a key contributor to our data engineering efforts. You will join a dedicated team of machine learning engineers to specifically focus on enhancing and scaling our data pipelines for cutting-edge Deep Learning models. This work is crucial for developing and optimizing solutions that drive our AdTech platform and enable the next generation of Machine Learning models for our Ad Business.
**What you'll be doing**
+ Design, implement, and continuously improve robust and scalable data pipelines for machine learning, with a particular emphasis on supporting advanced Deep Learning models.
+ Collaborate closely with machine learning engineers, data scientists, and other cross-functional teams to understand business requirements and translate them into effective data solutions, models, and algorithms.
+ Manage the full lifecycle of large-scale data sets, including collection, storage, processing, and optimization for machine learning applications.
+ Develop and maintain a reliable data infrastructure capable of supporting both real-time and batch data processing.
+ Stay current with industry trends and advancements in AdTech, data engineering, and machine learning, implementing best practices to elevate our capabilities.
+ Mentor junior data engineers and contribute to a culture of technical excellence, innovation, and shared learning.
+ Ensure all data engineering practices and machine learning initiatives adhere to data privacy and compliance standards.
**What we're looking for**
+ Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
+ Minimum of 5 years of experience in data engineering, with a significant focus on building systems and pipelines for machine learning models, preferably in the AdTech industry.
+ Proficient in programming languages such as Python, Scala, or Java.
+ Solid experience with big data technologies (e.g., Flink, Spark) and cloud platforms (e.g., GCP preferred, AWS).
+ Strong knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch), and practical experience with the deployment of ML models at scale.
+ Demonstrated ability to own and deliver complex data engineering projects and to collaborate effectively within cross-functional teams.
+ Excellent problem-solving skills and the ability to thrive in a fast-paced, dynamic environment.
**Additional information**
+ Relocation support is not available for this position.
+ Work visa/immigration sponsorship is not available for this position
**Life at Unity**
Unity (NYSE: U) is the leading platform to create and grow games and interactive experiences. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing.
As of the third quarter of 2024, more than 70% of the top 1,000 mobile games were made with Unity, and in 2024, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit Unity ( .
_Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form ( to let us know._
_This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English._
_Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity._
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