English version below
Le voyage ne se résume pas à la destination; il s’agit de chaque souvenir créé en cours de route.
Nous nous consacrons à façonner l’avenir du voyage en nous associant à plus de 200 entreprises du secteur aérien, hôtelier, croisiériste, ferroviaire et des services financiers afin de créer de nouvelles sources de revenus significatives grâce à des expériences client exceptionnelles. Enracinés dans nos valeurs fondamentales d’ambition, d’innovation et de collaboration, nous sommes déterminés à repousser constamment les limites, dépasser les attentes et faire ressortir le meilleur de chacun, en cultivant une culture où nous croyons que nous sommes meilleurs ensemble, travaillant vers un avenir extraordinaire dans le domaine du voyage.
Venez nous aider à transformer le voyage quotidien en expériences extraordinaires.

WHAT YOU’LL LOVE ABOUT US:

RRSP/401(k) Matching/Pension Matching
Comprehensive Health Plans
Flexible Paid Time Off
✈️ Travel Experience Credit
Annual Wellness Credit
Team Events and Monthly Lunches
Home Office/Commuter Credit
Work From Anywhere Program
Parental Leave Top Up
Adventure Pass

ABOUT THE ROLE:

As the ML Engineer for the ML Applications team, you will be responsible for designing, developing, and deploying innovative machine learning platform solutions to solve challenging business problems. This role requires a strong foundation in software development, a passion for cutting-edge technology, excellent problem-solving skills, and the ability to work independently and collaboratively within a fast-paced environment.
This role reports to the Director, ML Applications.

WHAT YOU WILL BE DOING:

• Work in a small team passionate about enabling ML applications throughout the organization.
• Design and develop scalable and robust ML pipelines for predictive data to be consumed by downstream applications to improve the main KPIs, such as member engagement, revenue, and others.
• Productionize, scale, and productize cutting-edge machine learning solutions.
• Design and develop robust processes to monitor production ML pipelines.
• Support production systems to deliver batch and streaming real-time model predictions to all applications.
• Actively participate in solution design and modeling to ensure ML products are developed according to best practices, standards, and ML architectural principles.
• Work closely with our Product, Engineering, and Marketing teams to build the data and ML solutions to address business-critical questions.
• Deploy models and evaluate their performance; constantly test and improve.
• Responsible for model retraining, drift monitoring, pipeline automation, quality control, and governance of production models.
• Work closely with the OPS team to provide the necessary production support.