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Machine learning engineer • toronto on
- Promoted
Machine Learning Engineer
Munich ReToronto, ON, CanadaRQ09177 Machine Learning Engineer
Randstad CanadaNorth York, Ontario, CA- Promoted
Machine Learning Engineer
HCLTechToronto, ON, Canada- Promoted
Machine Learning Engineer
Manulife FinancialToronto, ON, Canada- Promoted
Machine Learning Engineer
ProNavigatorOld Toronto, ON, Canada- Promoted
Machine Learning Engineer
TekshapersToronto, ON, Canada- Promoted
Machine Learning Engineer
AutodeskToronto, ON, Canada- Promoted
Machine Learning Engineer
Dacaro, Inc.Toronto, ON, Canada- Promoted
Machine Learning Engineer
The ScoreToronto, ON, Canada- Promoted
Machine Learning Engineer
ManulifeToronto, ON, Canada- Promoted
Machine Learning Engineer
DeepRec.aiToronto, ON, Canada- Promoted
Machine Learning Engineer
Morningstar, Inc.Toronto, ON, Canada- Promoted
Machine Learning Engineer
theScoreToronto, ON, Canada- Promoted
Machine Learning Engineer
SobeysToronto, ON, Canada- Promoted
Machine Learning Engineer
Tiger AnalyticsToronto, ON, Canada- Promoted
- New!
Machine Learning Engineer
WisedocsToronto, ON, Canada- Promoted
Machine Learning Engineer
ValenceToronto, ON, Canada- Promoted
Machine Learning Engineer
CriteoToronto, ON, Canada- Promoted
Machine Learning Engineer
HRBToronto, ON, Canada- Promoted
Machine Learning Engineer
IdeogramToronto, ON, Canada- Bradford West Gwillimbury, ON (from $ 92,625 to $ 296,000 year)
- Quinte West, ON (from $ 92,625 to $ 296,000 year)
- Ottawa, ON (from $ 119,591 to $ 271,835 year)
- Victoria, BC (from $ 38,805 to $ 250,000 year)
- Thunder Bay, ON (from $ 142,500 to $ 238,700 year)
- Owen Sound, ON (from $ 128,524 to $ 233,400 year)
- North Bay, ON (from $ 140,000 to $ 228,800 year)
- Prince George, BC (from $ 121,250 to $ 227,300 year)
- Prince Edward, ON (from $ 134,611 to $ 211,725 year)
- Greater Sudbury, ON (from $ 122,925 to $ 200,000 year)
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Machine Learning Engineer
Munich ReToronto, ON, Canada- Full-time
Position Overview
Munich Re sees the use of medical data as instrumental in enhancing the customer experience and expanding insurability for life insurance. Integrated Analytics (IA) leads this effort in the US and Canada. Individuals in the role of Machine Learning Engineer will use their knowledge of software engineering and data science to operationalize solutions that leverage proprietary and off-the-shelf models to solve key challenges in medical risk assessment.
- In the past year we have :
- Automated risk assessment for medical impairments using Electronic Health Records
- Deployed 10+ models to production in partnership with data science
- Expanded MLOps infrastructure to support data science workflows and operationalize Munich Re’s AI Governance program
Your Role :
Your Profile :
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Together, we engage with everything we have and are, to help humankind act braver and better.
As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.
Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.
What Can We Offer You?
We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include :
Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.
Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact [email protected] as soon as practical so that suitable accommodations can be arranged.
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