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Savant Bio

AI/ML Engineer

Savant Bio, New York, New York, us, 10261

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Savant is transforming how healthcare and life sciences organizations unlock the value trapped in unstructured medical data. Our platform combines cutting-edge large language models (LLMs) with domain-specific quality controls to convert free-text clinical records into structured, analysis-ready data — efficiently, accurately, and at scale. We’re hiring an AI/ML Engineer to help build and scale the infrastructure behind Savant’s clinical data structuring platform. In this role, you’ll work at the intersection of LLMs, applied machine learning, and healthcare data to develop production-grade pipelines that extract structured insights from messy, high-stakes records. Some key responsibilities include: Design and build robust ML pipelines to apply LLMs and other models to unstructured clinical text Develop and optimize systems for information extraction, entity resolution, data normalization, and QA Build and scale infrastructure for running model inference across large datasets Prototype, evaluate, and refine prompt strategies, model configurations, and workflows Implement internal tools for monitoring, observability, and iterative model improvement Translate research prototypes into reliable, testable, and maintainable production code Collaborate cross-functionally with clinical experts and product leads to embed domain knowledge into model workflows We’re looking for candidates with: 3+ years of hands-on experience building and deploying ML/AI systems Strong Python development skills, including experience with production-quality ML codebases Familiarity with modern ML/NLP frameworks (e.g., PyTorch, Hugging Face, spaCy) Experience working with large-scale unstructured or semi-structured data Practical knowledge of LLMs: prompt engineering, evaluation, fine-tuning, observability Comfort working in fast-paced, ambiguous environments where iteration is key Clear communicator with a collaborative mindset Savant provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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