Senior ML OPS _ Content Creation Technology Group

Jobs for Humanity; Montreal; On-site; CAD 80,000 - 90,000; Full time

Job summary

A technology company is seeking a Senior ML Ops to develop machine learning tools that support various teams in creating and deploying ML solutions for games. The ideal candidate will have a strong background in software engineering and machine learning, and will bring best practices to assist in delivering ambitious roadmap features. This full-time position is based in Montreal.

Qualifications

• Minimum of 5 years of experience in software engineering.
• Minimum of 2 years of experience in machine learning.
• Specialization in Machine Learning is an asset.

Responsibilities

• Design and develop machine learning systems and schemes based on business requirements.
• Optimize existing tools for improved performance, scalability, and efficiency.
• Contribute to building pipelines and workflows for ML projects.
• Collaborate with game production, data science, and research teams.

Skills

Python

Machine learning pipelines

Docker

Kubernetes

PyTorch

TensorFlow

Data science collaboration

Cloud-based platforms

Education

Bachelor’s degree in computer science or computer engineering

Tools

Databricks

ClearML

Job description

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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.

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.

Jobs for Humanity is collaborating with Ubisoft to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.

Company Name : Ubisoft

Seniority level

Seniority level

Mid-Senior level

Employment type

Employment type

Full-time

Job function

Job function

Management and Manufacturing

Industries

Non-profit Organizations

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