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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