Title:  AI/ML Infrastructure/Platform Engineer

About The Role

We are CDAI—the data and artificial intelligence engine of Compass Group North America. We design and deliver custom, in-house solutions tailored to the unique complexities of food service and hospitality. Our work is grounded in strong data foundations, layered with AI to enhance forecasting, streamline operations, and enable better, faster decision-making across Compass Group. With deep integration into the business and a commitment to white-glove service, CDAI empowers associates, clients, and customers through innovative, future-forward technologies.

Position Details:

• Position Title: AI Platform Engineer
• Salary: 110,000.00 - 150,000.00
• Employment Type: Full Time, Permanent 
• Hybrid: 3 Days a Week - Toronto/ Mississauga

In accordance with provincial legislation and our commitment to transparent hiring practices, the compensation range for this position is provided. Final compensation will be determined based on qualifications, experience, and internal equity. Canadian work experience is not required. Please note that artificial intelligence tools are utilized in the applicant screening process.

Job Summary

At Compass Data & AI (CDAI), our mission is to create extraordinary experiences at the intersection of hospitality and technology.  The CDAI AI Platform Engineering team is seeking an experienced and highly skilled AI platform engineer to join our team and lead the development of cutting-edge AI/ML infrastructure to help our partners make smarter business decisions. The successful candidate will:

Now, if you were to come on board as our AI Platform Engineer, we’d ask you to do the following:

• Build robust, and reliable infrastructure that enables and accelerates AI applications and services that are deployed at the company.
• Collaborate with cross-functional teams to identify business needs and develop innovative data-driven solutions that drive measurable impact.
• Provide guidance and feedback on infrastructure and system architectures that power AI driven decision making.
• Design and implement robust data infrastructure, following governance practices around data integrity and security.
• Mentor and provide guidance to data scientists, fostering a collaborative environment for knowledge sharing and skill development.
• Stay updated with industry trends, emerging technologies, and best practices in machine learning, AI, LLMs, and data science.

Think you have what it takes to be our AI Platform Engineer? Here’s how we’ll know:

• 5 years of hands-on experience in building and deploying machine learning and AI pipelines in a commercial environment.
• Experience with cloud-based data platforms (AWS, GCP, Snowflake preferred) and related services (Airflow, Sagemaker, Vertex AI).
• Expert in writing Python, Terraform, and familiarity with Golang.
• Proven track record of delivering successful data-driven solutions that have driven tangible business outcomes.
• Skilled in automating processes with GitHub Actions pipelines.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

Preferred Qualifications:

• 3+ Years of experience working in infrastructure and platform engineering teams
• Experience with clustering algorithms and recommender systems.
• Knowledge of software engineering practices and version control systems.
• Minimum Bachelors degree in STEM or related field required.
• Master's or Ph.D. in STEM or related field preferred.