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Hireovo · AI & Machine Learning

MLOps Engineer

Toronto, Canada · FULL TIME

About the role

Senior MLOps Engineer talent pool in Toronto, focused on monitoring after a model is live. Employer assignments use this pool when they need a MLOps Engineer in Toronto, Canada, who is accountable for monitoring after a model is live. The useful week is spent checking drift, latency, and error rate, and paging only when a user is affected, with mistakes corrected in the open rather than buried. Responsibilities - Review the drift report for the input shift and correct it before anyone else relies on it. - Keep a single current latency budget, and archive the older copy once you have dealt with the slow predictions. - Ask the on-call engineer to challenge the error budget, especially around the rising failure rate. - Write the assumption behind the alert review in two or three plain sentences, and mention the pages that are noise. - Compare this week's rollback drill note with the previous one and explain an untested rollback. - Stop and rework the weekly health note if you find a metric that moved without a reason. Requirements - Roughly

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