Close Inclusive Collection Job Postings Notification "I joined as a server on the catering staff. Thanks to Hyatt's training and support, I now oversee a brilliant team that helps brings events to life." Machine Learning Engineer (Canada - Remote) Technology Professional Staff/Corporate Full time Hyatt Hotels Corporation seeks an enthusiastic Senior ML Engineer to join our Data Science and Machine Learning department. In this role, you will be collaborating closely with the broader Data and Analytics team, where you’ll be instrumental in continuing to make Hyatt a leading hospitality company.

You will be part of a team that is passionate about our purpose, committed to nurturing curiosity and new skills, and building connections across the organization with colleagues, customers, and guests. At Hyatt, we believe in the power of belonging and creating a culture of care, where our colleagues become family. Since 1957, our colleagues and our guests have been at the heart of our business and helped Hyatt become one of the best and fastest-growing hospitality brands in the world.

Our transformative growth and the addition of new hotels, brands, and business lines can open the door for exciting career and growth opportunities for our colleagues. We’re proud to offer exceptional corporate benefits which include: Annual allotment of free hotel stays at Hyatt hotels globally A global family assistance policy with paid time off following the birth or adoption of a child as well as financial assistance for adoption Extended Health Benefits for you and your dependents and paid medical days Cell Phone Allowance As our ideal candidate,



you understand the power and purpose of our culture of care, and embody our core values of Empathy, Inclusion, Integrity, Experimentation, Respect, and Wellbeing.

The Machine Learning

Engineer partners with data science, data engineering, and platform teams to design, build, and operate scalable AI services. This role is responsible for translating machine learning models into reliable, production-grade systems through strong infrastructure design, MLOps automation, and performance optimization. The position also contributes to cross-functional initiatives that advance the organization’s AI platform capabilities.

Design and implement end-to-end ML systems, including data ingestion, feature processing, model training, and model serving Architect and deploy scalable AI services supporting real-time and batch inference use cases Build and maintain ML infrastructure across cloud environments (e.g., Develop and evolve MLOps platforms, including training pipelines, deployment workflows, feature stores, and model observability Optimize model training and inference performance for cost, latency, and hardware efficiency Monitor production ML systems for accuracy, reliability,



and operational health Partner cross-functionally with data engineering, architecture, governance, and security teams to ensure compliant and scalable solutions Mentor team members on ML engineering, system design, and operational best practices Contribute to special initiatives that advance AI platform maturity and engineering standards Master’s degree in Computer Science, Software Engineering, Machine Learning, or a related field ~5+ years of experience building and operating machine learning solutions in cloud environments, with focus on AI services and MLOps foundations ~ Demonstrated hands-on experience delivering end-to-end ML systems, spanning model development, deployment, and production infrastructure ~ Proficiency with modern ML engineering tooling, including cloud platforms, data pipelines, and CI/CD workflows Hands-on experience with deep learning frameworks and model optimization for performance and cost Experience building or contributing to shared MLOps platforms, feature stores, or ML observability solutions Unless otherwise indicated in the job posting, Hyatt does not sponsor employment visas or work permits for this position. Applications from candidates who do not meet these requirements will not be considered. In accordance with applicable human rights and accessibility legislation across Canada, accommodation is available throughout the recruitment and selection process.

If you require accommodation at any stage, please notify Human Resources, and we will work with you to meet your accessibility needs.

Regional

Office - EAME | Multiple Locations

📌 Sr. Machine Learning Engineer (Canada - Remote) (Moncton)
🏢 Hyatt Hotels
📍 Moncton