Machine Learning Engineer

Machine Learning Engineer page is loaded## Machine Learning Engineer locations:
Toronto, Canada time type:
Full time posted on:
Posted Yesterday time left to apply:
End Date:
January 23, 2026 (12 days left to apply) job requisition :
JR-110362
*
* What you will do:

** Reporting to the Senior Manager, Data Science & Insights, as a Machine Learning Engineer, you will play a key role in transforming advanced machine learning models into scalable, production-ready solutions that delivery measurable business impact across Cineplex’s diverse operations. You will collaborate closely with data scientists and engineers to bridge the gap between experimentation and deployment, ensuring models are robust, efficient, and seamlessly integrated into production environments.

In this role, you will champion best-in-class software development practices and establish a mature Machine Learning Ops framework, accelerating the delivery of analytics solutions and enabling the team to operate with speed, reliability, and impact.
** Responsibilities
* ** Convert Machine Learning models into fully functional, user-ready products that integrate seamlessly with business processes.
* Deploy and maintain models in scalable, production environments, delivering high-quality, reusable, and well-documented code.
* Optimize Machine Learning models and code developed by Data Scientists for performance, reliability, and scalability, ensuring solutions meet business needs.
* Monitor and maintain production models and associated workflows, ensuring proper execution, scheduling, and operational health.
* Automate common machine learning tasks and workflows to improve efficiency and reduce manual effort.
* Drive continuous performance optimization of Machine Learning solutions, implementing enhancements that maximize efficiency, scalability, and reliability
* Collaborate closely with Data Scientists to design, build, and enhance Machine Learning solutions, providing technical guidance throughout the lifecycle.
** Qualifications
* ** Bachelor’s in Computer Science, Software Engineering, Statistics, Informatics, Information Systems or a related field
* Experience operationalizing machine learning models into production environments.
* Hands-on experience in machine learning, with strong mathematical and statistical foundations, proficiency in Python, R, and Apache Spark, and expertise in scalable distributed systems.
* Experience with Databricks or similar cloud-based platforms for building and deploying Machine Learning solutions.
* Technical proficiency using Tensor Flow, and Py Torch
* Machine Learning Ops expertise, including CI/CD, model versioning, and monitoring
* Databricks Machine Learning certifications is preferred
** Inclusion & Diversity
** Cineplex, its subsidiaries, and affiliates are equal opportunity employers with a commitment to hiring and retaining a diverse workforce. We encourage and welcome applications from all intersectional walks of life. The collective sum of our individual differences, experiences, knowledge, innovation, self-expression, unique capabilities, and talent represents a significant part of our culture. By valuing a diverse workforce, we enforce hiring practices that are fair and equitable.
** Accessibility
* * We are committed to improving access and opportunities for all individuals, including those with disabilities by identifying and removing barriers that may prevent, inhibit, or restrict their access to employment opportunities. If you require accommodation at any stage of our hiring process (application, interviews, assessments, and placement), please contact us at  or via email at
** Use of AI
** We use AI-assisted tools to help us review applications and support parts of the recruitment process. However, every application is reviewed by our HR team, and all hiring decisions are made by our people, not by AI.
** This position is a current vacancy and is being actively recruited to fill an existing role within the organization.
**** While we appreciate all interest, only those candidates selected for an interview will be contacted.
**** Wage ($):**$85,000 - $105,000

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