Lead the development of production-grade AI systems, translating complex health data into actionable insights
Engineer and implement advanced Retrieval-Augmented Generation (RAG) pipelines for deep reasoning over health profiles
Fine-tune state-of-the-art models and establish best practices for the machine learning lifecycle
Required Qualifications
BS degree in Computer Science, Software Engineering, or a related field
4+ years of experience in building and deploying machine learning models
High proficiency in Python and core machine learning libraries
1-2 years of experience with Large Language Models (LLMs)
Proven experience with vector databases and semantic search principles
Average salary estimate
$125000
/ YEARLY (est.)
min
max
$100000K
$150000K
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