Top Benefits
About the role
COMPANY DESCRIPTION
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assasin'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 Content Creation Technology Group (CCTG) is looking for a Senior ML Ops to work in a team that develops machine learning tools to support teams in creating, testing, and deploying ML solutions to games. You will support and collaborate with Data Scientists, Software Developers and other stakeholders in delivering these ML solutions. The Senior ML Ops role will bring best practices and design principles to assist the team in delivering our ambitious features roadmap.
Main responsibilities:
-
Designing and developing machine learning systems and schemes based on the business requirements and objectives.
-
Optimizing existing tools for improved performance, scalability, and efficiency.
-
Contribute to the industrialization of machine learning projects, focusing on building pipelines and workflows.
-
Adapting and improving models’ usage, facilitating tools usage, and adapting these to users needs.
-
Create tools to support and integrate the ML models inside a multi-process pipeline.
-
Enhancing the existing machine learning libraries and frameworks.
-
Collaborating with game production teams, data science team, research team and other stakeholders.
Other responsibilities:
-
Conducting research to stay up to date with the latest advancements.
-
Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators.
-
Creating proof of concepts to satisfy investigations into product directions.
QUALIFICATIONS
Education:
- Bachelor’s degree in computer science or computer engineering or equivalent. A specialization in Machine Learning is an asset.
Relevant Experience:
- A minimum of 5 years of experience in software engineering.
- A minimum of 2 years of experience in machine learning.
Skills:
-
A good knowledge of a production machine learning pipeline; from ML training and deployment to model performance-tracking/behavioral-drift.
-
Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow.
-
A familiarity with MLOps platforms such as Databricks and/or ClearML.
-
A good knowledge of container technology such as Docker and/or Kubernetes.
-
A good knowledge of machine learning and deep learning fundamentals.
-
A good knowledge of Database products is an asset.
-
A good knowledge of cloud-based platforms is an asset.
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.
About Ubisoft Montréal
Nous créons l'inconnu depuis 1997. Chez Ubisoft Montréal, un but commun nous uni·es : enrichir la vie des joueuses et des joueurs grâce à des expériences de jeu originales et mémorables. Nous développons des franchises emblématiques qui fascinent des millions de personnes à travers le monde, incluant Assassin's Creed, Far Cry, For Honor, Rainbow Six, Watch Dogs - et, bon, on ne peut quand même pas dévoiler tous nos secrets.
Notre plus grande force est (et sera toujours) notre communauté d’employé·es : les talents audacieux qui soutiennent et produisent les jeux de qualité qui ont marqué l’histoire de notre studio.
Quand vous rejoignez Ubi MTL, vous découvrez un milieu de travail qui éveille la créativité et favorise les connexions : un environnement composé d'une variété de voix, d'identités, d'origines, d'expériences et de perspectives. Nous offrons un espace axé sur la collaboration et qui mise sur l'avancement professionnel, une foule d'opportunités d'apprentissage ainsi que d’importants avantages sociaux pour le bien-être.
Ici, notre désir de rêver gros, de prendre des risques et d’évoluer contribue à l'innovation et au dépassement des limites qui mènent finalement à notre succès collectif.
Top Benefits
About the role
COMPANY DESCRIPTION
Ubisoft is a global leader in gaming with teams across the world creating original and memorable gaming experiences, from Assasin'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 Content Creation Technology Group (CCTG) is looking for a Senior ML Ops to work in a team that develops machine learning tools to support teams in creating, testing, and deploying ML solutions to games. You will support and collaborate with Data Scientists, Software Developers and other stakeholders in delivering these ML solutions. The Senior ML Ops role will bring best practices and design principles to assist the team in delivering our ambitious features roadmap.
Main responsibilities:
-
Designing and developing machine learning systems and schemes based on the business requirements and objectives.
-
Optimizing existing tools for improved performance, scalability, and efficiency.
-
Contribute to the industrialization of machine learning projects, focusing on building pipelines and workflows.
-
Adapting and improving models’ usage, facilitating tools usage, and adapting these to users needs.
-
Create tools to support and integrate the ML models inside a multi-process pipeline.
-
Enhancing the existing machine learning libraries and frameworks.
-
Collaborating with game production teams, data science team, research team and other stakeholders.
Other responsibilities:
-
Conducting research to stay up to date with the latest advancements.
-
Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators.
-
Creating proof of concepts to satisfy investigations into product directions.
QUALIFICATIONS
Education:
- Bachelor’s degree in computer science or computer engineering or equivalent. A specialization in Machine Learning is an asset.
Relevant Experience:
- A minimum of 5 years of experience in software engineering.
- A minimum of 2 years of experience in machine learning.
Skills:
-
A good knowledge of a production machine learning pipeline; from ML training and deployment to model performance-tracking/behavioral-drift.
-
Proficient in Python and have experience with libraries and frameworks such as PyTorch and/or TensorFlow.
-
A familiarity with MLOps platforms such as Databricks and/or ClearML.
-
A good knowledge of container technology such as Docker and/or Kubernetes.
-
A good knowledge of machine learning and deep learning fundamentals.
-
A good knowledge of Database products is an asset.
-
A good knowledge of cloud-based platforms is an asset.
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.
About Ubisoft Montréal
Nous créons l'inconnu depuis 1997. Chez Ubisoft Montréal, un but commun nous uni·es : enrichir la vie des joueuses et des joueurs grâce à des expériences de jeu originales et mémorables. Nous développons des franchises emblématiques qui fascinent des millions de personnes à travers le monde, incluant Assassin's Creed, Far Cry, For Honor, Rainbow Six, Watch Dogs - et, bon, on ne peut quand même pas dévoiler tous nos secrets.
Notre plus grande force est (et sera toujours) notre communauté d’employé·es : les talents audacieux qui soutiennent et produisent les jeux de qualité qui ont marqué l’histoire de notre studio.
Quand vous rejoignez Ubi MTL, vous découvrez un milieu de travail qui éveille la créativité et favorise les connexions : un environnement composé d'une variété de voix, d'identités, d'origines, d'expériences et de perspectives. Nous offrons un espace axé sur la collaboration et qui mise sur l'avancement professionnel, une foule d'opportunités d'apprentissage ainsi que d’importants avantages sociaux pour le bien-être.
Ici, notre désir de rêver gros, de prendre des risques et d’évoluer contribue à l'innovation et au dépassement des limites qui mènent finalement à notre succès collectif.