Senior ML OPS _ Content Creation Technology Group

Ubisoft Entertainment; Montreal; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

An established industry player seeks a Senior ML Ops professional to join their innovative Content Creation Technology Group. In this exciting role, you will design and develop machine learning systems, optimize existing tools, and collaborate with cross-functional teams to deliver cutting-edge ML solutions for games. Your expertise in production ML pipelines, Python, and frameworks like PyTorch and TensorFlow will be crucial in enhancing the team's capabilities. Join a dynamic environment where your contributions will significantly impact the future of gaming technology and machine learning integration.

Qualifications

• 5+ years in software engineering with 2+ years in machine learning.
• Bachelor's degree in computer science or engineering required.

Responsibilities

• Design and develop machine learning systems based on business needs.
• Optimize tools for performance, scalability, and efficiency.
• Collaborate with teams to integrate ML models into workflows.

Skills

Production Machine Learning Pipeline

Python

PyTorch

TensorFlow

MLOps Platforms

Docker

Kubernetes

Machine Learning Fundamentals

Deep Learning Fundamentals

Database Products

Cloud-based Platforms

Education

Bachelor's degree in Computer Science

Specialization in Machine Learning

Tools

Databricks

ClearML

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:

1. Designing and developing machine learning systems and schemes based on the business requirements and objectives.
2. Optimizing existing tools for improved performance, scalability, and efficiency.
3. Contribute to the industrialization of machine learning projects, focusing on building pipelines and workflows.
4. Adapting and improving models’ usage, facilitating tools usage, and adapting these to users needs.
5. Create tools to support and integrate the ML models inside a multi-process pipeline.
6. Enhancing the existing machine learning libraries and frameworks.
7. Collaborating with game production teams, data science team, research team and other stakeholders.

Other responsibilities:

1. Conducting research to stay up to date with the latest advancements.
2. Documentation, presentations, and knowledge sharing to communicate complex AI concepts to both technical and non-technical collaborators.
3. 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.
• 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.