Job Title

Ready to make your next big professional move? Join us on our journey to achieve our big dream of building the most loved restaurant brands in the world. Restaurant Brands International Inc. is one of the world''s largest quick service restaurant companies, with nearly $45 billion in annual system-wide sales and over 32,000 restaurants in more than 120 countries and territories. RBI owns four of the world''s most prominent and iconic quick service restaurant brands TIM HORTONS, BURGER KING, POPEYES, and FIREHOUSE SUBS. These independently operated brands have been serving their respective guests, franchisees, and communities for decades. Through its Restaurant Brands for Good framework, RBI is committed to improving sustainable outcomes related to food, the planet, and people and communities. RBI is focused on growing the TIM HORTONS, BURGER KING, POPEYES, and FIREHOUSE SUBS brands by leveraging their core values, employee and franchisee relationships, and long-standing community support. Each brand benefits from the global scale and shared best practices from ownership by Restaurant Brands International Inc. Tim Hortons is one of North America''s largest restaurant chains in the quick service segment, with more than 4,800 system-wide restaurants located in Canada, the United States, and globally. We are currently seeking an experienced and driven Machine Learning Engineer to join our Advanced Analytics team. The team is responsible for building, training, deploying, scoring, and monitoring machine learning models for various use cases, including personalized recommender systems, forecasting, and LLM modeling. The Machine Learning Engineer will be pivotal in advancing our analytics and machine learning capabilities within the organization. Role & Responsibilities: Develop and deploy Machine Learning, Deep Learning, and GenAI models to improve operational efficiency and customer experience. Continuously monitor model performance, conduct A/B testing, and implement feedback loops for improvement. Stay updated with the latest advancements in machine learning and AI to keep solutions cutting-edge. Collaborate with cross-functional teams including engineers and product managers to integrate AI solutions into production systems. Qualifications: Bachelor''s degree or equivalent in Computer Science, Engineering, Statistics, Mathematics, or related fields. Proven experience as a Machine Learning Engineer, Data Scientist, or similar analytical role. Experience with programming languages and platforms such as Python, PySpark, and/or Databricks. Experience developing machine learning algorithms, statistical and optimization models using frameworks like Scikit-Learn, MLlib, and PyTorch. Strong understanding of regression, time series analysis, clustering, supervised and unsupervised learning, classification, and deep learning. Proficiency in SQL for large dataset manipulation. Experience in MLOps, LLMOps, and managing production jobs is an asset. Ability to deploy models on cloud platforms, particularly AWS (EC2, S3, DynamoDB, Lambda), is an asset. Eagerness to learn, adapt, and collaborate in ambiguous problem spaces. Focus on outcomes with data analysis and visualization skills for continuous improvement. Ability to work effectively in a fast-paced Agile environment with professional communication. #TimHortons Our benefits focus on physical, mental, and financial wellness, including paid parental leave, telemedicine, and mental health support. RBI is an equal opportunity employer, committed to diversity and inclusion, and provides accommodations for applicants with disabilities upon request. #J-18808-Ljbffr