Machine Learning Engineer

Life at Cineplex:

Cineplex is synonymous with entertainment. Known as Canada’s largest and most innovative film exhibitor, we’re so much more than movies - operating The Rec Room, Canada’s favourite destination for ‘Eats & Entertainment’ and Playdium, specially designed for teens and families.

At Cineplex, change and disruption are nothing new. Infusing innovation into everything we do has fueled our evolution as a fully-integrated, diversified and growing organization with exciting career opportunities in our locations and corporate functions. Grow with us, and explore roles in operations, food services, hospitality, digital commerce (CineplexStore.com), digital (Cineplex Digital Media) and cinema media (Cineplex Media), consumer loyalty (SCENE), finance, human resources, technology, amusement solutions (Player One Amusement Group), and more.

Proudly recognized as having one of the country’s Most Admired Corporate Cultures, we rally behind our values of Teamwork, Innovation and Excellence. 

We are creative, curious and love thinking big. The next evolution of Cineplex starts here, with you. 

Learn more about our businesses through the links below. 

Cineplex | Cineplex Digital Media |  | Cineplex Media | Cineplex Store | Player One Amusement Group | Playdium | The Rec Room | SCENE 

Inclusion & Diversity:

Cineplex is an equal opportunity employer 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. 

The main role of the Machine Learning (ML) Engineer within the Data and Analytics team will be to assist the team in creating Machine learning products that can be operationalized to provide value to Cineplex’s various business units.  

The role will work in conjunction with data scientists and data engineers in the team, to convert trained models and make them work on quality production environment. The ML engineer will be responsible for bringing the best software development practices to the analytics team and building out an Machine Learning Operations practice within the team to speed up analytics deliverables.  

What Is The Role:

• Transform ML Prototypes into working products that can be used by business units seamlessly.  Work with business units to understand integration requirements to ensure models are delivered to meet business needs 

• Productionalize models in our Azure cloud environment, while also maintaining high quality, reusable code  

• Optimize ML models/code developed by Data scientists - for performance and scalability 

• Ensure that all production models and jobs related to the model are working properly in terms of actual execution and scheduling  

• Automate and abstract different repeatable routines that are present in most machine learning tasks 

• Constantly seek performance improvements and decide which ML technologies will be used in production environment  

• Provide support to Data Scientists to design, build, implement, and optimize ML solutions 

What You Need:

• Bachelor’s in computer science, Software Engineering, Statistics, Informatics, Information Systems or another quantitative field  

• Master’s in Computer Science, Software Engineering, Statistics, Informatics, Information Systems or another quantitative field 

• Azure Data science and ML certifications 

What You Offer:

• 1 or more years of experience with ML model operationalization  

• 1 years of Machine learning experience, mathematical and statistical knowledge, Python, R, Spark 

• 1 or more years of experience with Azure or any other cloud ML build and implementation  

• Proficiency in R, Python, Spark 

• ML Model building and deployment experience in Cloud 

• Knowledge of scalable, distributed systems using Cloud Providers such as Microsoft Azure will be preferred 

• Experience with using Dockers effectively 

• Experience with Data Bricks and Kubernetes will be an asset 

• Mathematical and statistical knowledge 

• MLOps Experience preferred 

• Familiarity with Tensorflow or Pytorch will be an asset 

Accessibility

Cineplex is 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 416-323-6600 or via email at [email protected].

Interested applicants, please apply today.

While we appreciate all interest, only those candidates selected for an interview will be contacted. As part of Cineplex Entertainment’s standard recruitment process, suitable candidate(s) will be required to undergo pre-employment screening as a condition of employment or promotion.

No Agency Calls Please

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