Machine Learning Engineer II, Tim Hortons

Tim Hortons; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading company is seeking a Machine Learning Engineer II to enhance analytics capabilities. The role involves developing and deploying advanced machine learning models while collaborating with teams to integrate AI solutions. Comprehensive benefits are offered, focusing on wellness and diversity.

Benefits

Paid parental leave

Telemedicine

Mental health support

Qualifications

• Proven experience as a Machine Learning Engineer or similar role.
• Experience in MLOps, LLMOps, and deploying models on cloud platforms like AWS is a plus.

Responsibilities

• Develop and deploy Machine Learning, Deep Learning, and GenAI models.
• Improve models through performance monitoring, A/B testing, and feedback.
• Collaborate with cross-functional teams to integrate AI solutions.

Skills

Python

Machine Learning

Deep Learning

Collaboration

Education

Bachelor’s degree in Computer Science

Bachelor’s degree in Engineering

Bachelor’s degree in Statistics

Bachelor’s degree in Mathematics

Tools

PySpark

Databricks

Scikit-Learn

MLlib

PyTorch

SQL

Job description

Machine Learning Engineer II, Tim Hortons

Join our team as a Machine Learning Engineer II and contribute to advancing our analytics capabilities at Tim Hortons, part of Restaurant Brands International. We are seeking an experienced professional to develop, deploy, and monitor machine learning models that enhance operational efficiency and customer experience.

Responsibilities

• Develop and deploy Machine Learning, Deep Learning, and GenAI models.
• Improve models through performance monitoring, A/B testing, and feedback.
• Stay current with the latest in AI and machine learning advancements.
• Collaborate with cross-functional teams to integrate AI solutions into production systems.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or related field.
• Proven experience as a Machine Learning Engineer or similar role.
• Proficiency in Python, PySpark, Databricks, and machine learning frameworks like Scikit-Learn, MLlib, and PyTorch.
• Strong understanding of regression, time series, clustering, supervised and unsupervised learning, deep learning.
• Experience with SQL for data manipulation.
• Experience in MLOps, LLMOps, and deploying models on cloud platforms like AWS is a plus.
• Collaborative, adaptable, and outcome-focused mindset.

Additional Information

We offer comprehensive benefits focusing on wellness, including paid parental leave, telemedicine, and mental health support. RBI is an equal opportunity employer committed to diversity and inclusion.