Principal Wind Turbine Technology Engineer enhancing wind power plants reliability and performance with data - driven analysis. Opportunity to work at the forefront of wind energy technology with DNV.
About the role
- Machine Learning Engineer overseeing model training and deployment using DVC and GCP for Eli Health's hormone monitoring platform. Responsible for improving model quality and operational reliability in real-world data.
Responsibilities
- Take ownership of and improve the model training and deployment pipeline
- Ensure models train reproducibly, deploy safely, and perform reliably in production
- Actively contribute to ongoing analyses, including calibrations, pilot studies, and model performance investigations
- Collaborate with technical and domain experts to improve model quality and detect problems early
Requirements
- Bachelor's degree in Engineering, Computer Science, Data Science, Mathematics, or a related field
- At least 5 years of experience building, deploying, and maintaining machine learning systems in production
- Strong programming fundamentals and proficiency in Python
- Experience with Data Version Control (DVC) and Google Cloud Platform (GCP)
- Comfortable working with noisy, incomplete, and high-variability data
Benefits
- Health insurance (medical, dental, vision, and more)
- Flexibility over your schedule and vacations
- Unlimited free access to the Bota Bota spa in Montreal
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Senior Technical Engineer
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