Cineplex

About the Company

Cineplex (TSX:CGX) is a top-tier Canadian brand that operates in the Film Entertainment and Content, Amusement and Leisure, and Media sectors. Cineplex offers a unique escape from the everyday to millions of guests through its circuit of 171 movie theatres and location-based entertainment venues. In addition to being Canada's largest and most innovative film exhibitor, the company operates Canada's favourite destination for 'Eats & Entertainment' (The Rec Room), complexes specially designed for teens and families (Playdium), and an entertainment concept that brings movies, amusement gaming, dining, and live performances together under one roof (Cineplex Junxion). It also operates successful businesses in cinema media (Cineplex Media), digital place-based media (Cineplex Digital Media or CDM), alternative programming (Cineplex Events) and motion picture distribution (Cineplex Pictures). Providing even more value for its guests, Cineplex is a partner in Scene+, Canada's largest entertainment and lifestyle loyalty program. Proudly recognized as having one of the country's Most Admired Corporate Cultures, Cineplex employs over 10,000 people in its offices and venues across Canada. Media Relations: PressRoom@Cineplex.com

Listed Jobs

Company Name

Cineplex

Job Title

Machine Learning Engineer

Job Description

Job Title: Machine Learning Engineer Role Summary: Develop scalable, production-ready machine learning solutions that deliver measurable business impact. Collaborate with data science teams to transition models from experimentation to deployment, ensuring robust, efficient integration into operational systems. Establish MLOps frameworks to enhance solution delivery speed and reliability. Expactations: - Bachelor’s in Computer Science, Software Engineering, Statistics, Informatics, or related field. - Experience operationalizing machine learning models into production. - Strong mathematical/statistical foundation with proficiency in Python, R, and Apache Spark. Key Responsibilities: 1. Convert ML models into user-ready, business-integrated solutions. 2. Deploy, optimize, and maintain models in scalable production environments. 3. Monitor and ensure operational health of live models. 4. Automate workflows to improve ML efficiency and reduce manual effort. 5. Drive performance optimization of ML systems for reliability and scalability. 6. Collaborate with data scientists on solution design and implementation. Required Skills: - Python, R, Apache Spark. - TensorFlow, PyTorch. - MLOps expertise (CI/CD pipelines, model versioning, monitoring). - Experience with cloud platforms (e.g., Databricks) for ML deployment. Required Education & Certifications: - Bachelor’s in Computer Science, Software Engineering, Statistics, Informatics, or related field. - Databricks Machine Learning certification preferred.

Toronto, Canada

Hybrid

12-01-2026