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. Solid communication skills are essential for presenting complex ideas clearly to a broader audience.Key Responsibilities:Explore datasets to understand their structuresCreate and enhance machine learning models and signal processing techniquesConduct thorough model validation and error analysisMonitor model performance in production settingsClearly report findings to diverse teamsRequirements:Bachelor's degree in Engineering, CS, or related field requiredAt least 5 years of relevant experience in machine learningStrong command of Python and associated librariesProficient in statistical reasoning and experimental methodsAbility to tackle uncertain problems independentlyYour expertise can help Eli Health lead the way in hormone health technology!
📌 On-Site Machine Learning Scientist At Eli Health (Montreal)
🏢 Eli Health
📍 Montreal
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