Become a vital part of Eli Health as an On-Site Machine Learning Scientist. Work on cutting-edge solutions for hormone monitoring using advanced machine learning methodologies. In this role, you'll engage directly with real-world data challenges, applying your expertise to improve ML models and validate findings.

The focus is on developing scientifically robust analyses while working closely with the ML lead to ensure effective application of your work. Strong communication skills are essential for presenting complex ideas clearly to a broader audience. Key Responsibilities:

- Explore datasets to understand their structures
- Create and enhance machine learning models and signal processing techniques




- Conduct thorough model validation and error analysis
- Monitor model performance in production settings
- Clearly report findings to diverse teams

Requirements:

- Bachelor’s degree in Engineering, CS, or related field required
- At least 5 years of relevant experience in machine learning
- Robust command of Python and associated libraries
- Proficient in statistical reasoning and experimental methods
- Ability to tackle uncertain problems independently

Your expertise can help Eli Health lead the way in hormone health technology!

📌 On-Site Machine Learning Scientist at Eli Health (Montreal)
🏢 Eli Health
📍 Montreal