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Senior AI Data Developer

Construction & engineering
UbisoftMontréal, QC, CAPosted 2026-07-23
Temps plein

Description

Company Description

Ubisoft is a global leader in the video game industry, with teams around the world creating original and memorable experiences, from Assassin's Creed and Rainbow Six to Just Dance and more. We believe that the diversity of perspectives allows both players and teams to thrive. If you are passionate about innovation and pushing the limits of entertainment, join us and contribute to creating the unknown!

The role holder works in collaboration with the business solution architect, application teams, and business stakeholders to deliver data and AI solutions that make processes and systems smarter.

They develop and maintain data pipelines compliant with predictive model requirements and design AI agents, particularly using Copilot Studio, capable of leveraging these data securely and efficiently.

The person is also accountable for the accessibility, integrity, and quality of the required datasets.

What You Will Do

  • Lead the design, implementation, and maintenance of data transport processes required by data scientists;
  • Perform data transformation operations to feed predictive models;
  • Design and maintain data architectures ensuring reliable pipelines for structured and unstructured data;
  • Design scalable data models required for predictive model development;
  • Ensure the transition between data pipelines and data models;
  • Integrate predictive models and AI solutions into applications, systems, and operations;
  • Design, develop, deploy, and maintain AI agents using Copilot Studio;
  • Integrate AI agents with data pipelines, APIs, and existing systems;
  • Collaborate with business teams to define use cases, conversational flows, and operational rules for AI agents;
  • Monitor and ensure the quality of data (reliability, consistency, integrity) and data flows;
  • Monitor and ensure the performance of pipelines, AI agents, and infrastructure, and propose necessary adjustments;
  • Use distributed computing for model training and deployment;
  • Contribute to various projects related to the implementation of innovative systems, solutions, and processes;
  • Perform any other related tasks.

Education

  • University degree in computer science, engineering, or a related field.

Relevant Experience

  • Minimum five years of experience in the industry in development, coding, scripting, and data-oriented design;
  • Minimum five years in development and administration of large amounts of data;
  • Minimum three years in data modeling and administration of SQL and NoSQL databases;
  • Practical experience in the development or integration of AI or intelligent agent solutions, a plus.

Skills

  • Ability to design processes based on data flow concepts and architectures;
  • Ability to extract, transform, and load data (ETL/ELT);
  • Ability to configure, use, and develop data management systems;
  • Ability to develop large, structured software using software engineering methods;
  • Ability to use various tools and languages (e.g., Python, SQL, Bash) to integrate systems;
  • Ability to design and maintain AI agents and conversational flows;
  • Creative thinking and excellent problem-solving skills;
  • Team player, excellent interpersonal skills;
  • Strategic mindset;
  • Good understanding of Machine Learning and Generative AI;
  • Autonomy in finding solutions to complex problems;
  • Knowledge of Agile methodologies.

Knowledge

  • Experience with Flume, NiFi, Kafka, or other data pipeline tools;
  • Experience with REST API;
  • Experience with Copilot Studio, Power Platform, or similar AI agent platforms;
  • Experience with C# and .NET;
  • Experience with Linux and Windows;
  • Strong knowledge of computer science principles in algorithms and data structures;
  • Knowledge of data-oriented architectures and data flows;
  • Experience in data quality, integrity, cleaning, and transport.

This posting was aggregated from indeed. Groupe Sentinella is not the employer; applying takes you to the original site. The full text belongs to the original poster.

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