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Job ID : 6162
Category : Finance
Brand : Definity
Regular/Temporary : Regular
Fulltime/Parttime : Full Time
Location : Waterloo, Canada
Definity includes some of Canada’s most long-standing and innovative insurance brands, including Economical Insurance, Sonnet Insurance, Family Insurance Solutions, and Petline Insurance. With strong roots that date back to 1871, we’ve grown to become a digital leader in the insurance industry. We’re proud to help our clients and communities adapt and thrive in a world of constant change.
Our promise to you: It’s better here. Why? Because we CARE, and we provide an employee experience that’s collaborative, ambitious, rewarding, and empowering.
Our ambition is to be one of Canada’s leading and most innovative P&C insurers. Come be a part of our journey, and love what you do.
Definity offers a flexible, hybrid work experience where employees work from the office and virtually depending on the type of work they are doing and who they are working with. Leader’s partner with their teams to find the right balance of on-site and remote work that best meets the needs of their teams, colleagues, brokers and customers, while ensuring collaboration, teamwork and accountability for goals.
The Advanced Analytics team at Definity is looking for an individual with a passion and expertise in the area of Machine Learning Operationalization (MLOps). As a Senior MLOps Analyst reporting to the Manager, Advanced Analytics, you will be responsible for supporting the operationalization of complex analytical solutions, and the monitoring & improvement of the underlying machine learning models, so that we sustain the benefits of the solutions to the organization and to our customers.
What can you expect in this role?
What do you bring to this role?
We also take potential into consideration. If you don’t have this exact experience, but you know you have what it takes, be sure to give us more insight through your application and cover letter.
Go ahead and expect a lot — you deserve it, and we’ve got it:
Our inclusive work environment welcomes diversity and supports accessibility. If you require accommodation at any time during the recruitment process, please let us know by contacting: [email protected]
This role requires successful clearance of a background check (including criminal checks and leadership references).