ZS
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Offices at ZS
Hybrid Workplace
Employees engage in a combination of remote and on-site work.
The Flexible & Connected model is our ZS standard. ZSers decide where it makes the most sense for them to work each day given client or teamwork.
Typical time on-site:
3 days a week
Global Office Locations
Toronto, Ontario, CAN
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Since the Toronto office opened in 2002, ZS Canada has been partnering with local companies to help them face critical challenges and embrace opportunities through our deep expertise.
Recently posted jobs
The Machine Learning Engineer will collaborate with data science teams to transition ML models from development to production, develop automated processes, ensure efficient deployment, implement security controls, and ensure compliance with industry standards while communicating with stakeholders.
The Senior Machine Learning Engineer will lead the transition of ML models from development to production, manage model versioning and deployment processes, implement monitoring and security measures, and mentor junior engineers while collaborating with cross-functional teams to meet project objectives.
As a Decision Analytics Associate Consultant, you will develop statistical models, leverage analytic techniques, design analyses using various tools, communicate results, maintain client relationships, create project deliverables, implement solutions, and guide Associates on projects.
