Machine Learning Engineer
Yesterday
Description
• Architect AI-driven data pipelines • Design cutting-edge algorithms • Develop models to analyze complex healthcare datasets • Collaborate with product, engineering, and science teams
Requirements
• Strong foundation in theoretical machine learning principles • Proficiency with machine learning frameworks (PyTorch, Transformers, NumPy, Pandas) • Hands-on experience with cloud platforms (AWS, Azure, GCP, etc.) • Experience with large-scale healthcare datasets is a plus • Exceptional communicator, excited to work cross-functionally
Benefits
• Competitive salary • Company equity • Fully remote work environment • Flexible work schedule • Opportunity to make a significant impact on the healthcare industry
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