Thor Companies is hiring a Senior Machine Learning Engineer to lead the full ML lifecycle, improve and stabilize an existing production ML product, and build production-quality Python and ML pipelines in AWS/Azure. The ideal candidate has 5+ years of applied ML experience, proven production ML deployment experience, and strong Python and engineering discipline.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
Job Description
Senior ML Engineer (Remote โ Canada)
My client, a PE-backed, cloud-first SaaS business is hiring a Senior ML Engineer into their Engineering team.
This is a brand-new role with full ownership of an established AI product using industrial sensor data + predictive/ML models to optimise real-world operations.
What youโll do
- Own the full ML lifecycle: data โ modelling โ deployment โ monitoring/retraining
- Improve and stabilise an existing production ML product (optimisation + bug fixing)
- Build production-quality Python and ML pipelines in AWS/Azure
- Work in SCRUM, strong SDLC (Git, testing, CI/CD), and help mentor junior AI devs
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What youโll need
- 5+ years applied ML (regression/forecasting/optimisation)
- Proven production ML deployment experience
- Strong Python + engineering discipline
- Strong modelling best practices (CV, quantile modelling, safeguards)
Nice to haves
- Docker
- K8s
- Azure ML / SageMaker
- IoT/industrial data.
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Headline facts
- Location: Fully remote (Canada)
- Salary: $180,000 - $205,000 CAD dependent on years experience
If you would like to learn more, please upload your most recent CV. Interviews are due to take place in the next week with a start date ASAP.
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