Senior ML OPS _ Content Creation Technology Group

Ubisoft Montréal; Montreal; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking company as a Senior ML Ops, where you'll design and develop cutting-edge machine learning tools for the gaming industry. In this role, you will collaborate with Data Scientists and Software Developers to create, test, and deploy innovative ML solutions. Your expertise will help optimize existing tools and contribute to the industrialization of machine learning projects. This is an exciting opportunity to work at the intersection of technology and creativity, making a significant impact on game development through advanced machine learning techniques.

Qualifications

• 5+ years of software engineering experience.
• 2+ years of experience in machine learning.
• Bachelor's in Computer Science or equivalent.

Responsibilities

• Design and develop machine learning systems based on business needs.
• Optimize tools for performance and scalability.
• Collaborate with various teams on ML solutions.

Skills

Machine Learning Pipelines

Python

PyTorch

TensorFlow

MLOps Platforms

Docker

Kubernetes

Database Products

Education

Bachelor’s degree in Computer Science

Tools

Databricks

ClearML

Job description

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 business requirements and objectives.
2. Optimizing existing tools for improved performance, scalability, and efficiency.
3. Contributing to the industrialization of machine learning projects, focusing on building pipelines and workflows.
4. Adapting and improving models’ usage, facilitating tools usage, and customizing these to user needs.
5. Creating tools to support and integrate ML models inside multi-process pipelines.
6. Enhancing existing machine learning libraries and frameworks.
7. Collaborating with game production teams, data science teams, research teams, and other stakeholders.

Other Responsibilities

• Conducting research to stay up-to-date with the latest advancements.
• Creating documentation, presentations, and sharing knowledge to communicate complex AI concepts to both technical and non-technical collaborators.
• Developing proof of concepts to explore product directions.

Qualifications

Education

• Bachelor’s degree in computer science, computer engineering, or equivalent. Specialization in Machine Learning is a plus.

Relevant Experience

• At least 5 years of experience in software engineering.
• At least 2 years of experience in machine learning.

Skills

• Knowledge of production machine learning pipelines, from training and deployment to performance tracking and behavioral drift.
• Proficiency in Python and experience with libraries such as PyTorch and/or TensorFlow.
• Familiarity with MLOps platforms like Databricks and/or ClearML.
• Knowledge of container technologies such as Docker and Kubernetes.
• Understanding of machine learning and deep learning fundamentals.
• Knowledge of database products and cloud platforms is a plus.

Additional Details

• Seniority Level: Mid-Senior level
• Employment Type: Full-time
• Industry: Computer Games