AI/ML Engineer

Savant Bio; New York (NY); On-site; USD 100,000 - 150,000; Full time

Job summary

A healthcare technology company in New York is seeking an AI/ML Engineer to develop robust ML pipelines for clinical data structuring. Candidates should have over 3 years of experience in ML/AI systems, strong Python skills, and familiarity with frameworks like PyTorch and Hugging Face. Join us to transform healthcare data into structured insights.

Qualifications

• 3+ years of hands-on experience in ML/AI systems.
• Strong Python development skills, including production-quality ML codebases.
• Familiarity with modern ML/NLP frameworks.

Responsibilities

• Design and build ML pipelines for clinical text.
• Develop systems for information extraction and data normalization.
• Prototype and refine workflows for model configurations.

Skills

Building and deploying ML/AI systems

Python development skills

Experience with ML/NLP frameworks

Working with unstructured data

Knowledge of LLMs

Communication skills

Tools

PyTorch

Hugging Face

spaCy

Job description

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.