About
Design, develop, and deploy machine learning solutions for complex healthcare problems using large-scale data Manage the end-to-end model lifecycle, including problem framing, feature engineering, and model evaluation Collaborate with cross-functional teams to translate ambiguous problems into actionable analytical solutions
Required Qualifications
4+ years of experience in building production-quality, maintainable, and testable code 4+ years of experience with machine learning fundamentals, including feature engineering and model interpretability 4+ years of hands-on experience with deep learning architectures and time-series analysis 4+ years of experience with healthcare data literacy and coding systems Advanced proficiency in Python and SQL for data science and analytical workflows
Languages
- English
Notice for Users
This job comes from a TieTalent partner platform. Click "Apply Now" to submit your application directly on their site.