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Engineer II, AI
Ensemble Health PartnersML Engineer optimizing healthcare revenue cycle management solutions using advanced analytics and machine learning. Collaborating on model development and implementation within a hybrid work environment.
Tech Stack
Tools & technologiesPandasPySparkPythonScikit-LearnSQL
About the role
Key responsibilities & impact- Contribute towards end-to-end ML development lifecycle, including data preparation, model building, deployment, and monitoring for revenue cycle applications.
- Build and optimize Gradient Boosting Trees models using LightGBM, and develop scikit-learn pipelines for predictive analytics.
- Implement Large Language Model (LLM) operations with OpenAI APIs, including summarization, prompt engineering, fine-tuning, and integration into operational workflows.
- Apply Explainable AI (XAI) techniques using libraries like SHAP and LIME to interpret model decisions and ensure transparency in high-stakes healthcare scenarios.
- Analyze complex datasets to identify patterns, develop deployable solutions, and collaborate on production-grade ML systems.
Requirements
What you’ll need- 4-6 years of experience in data science, analytics, or machine learning.
- Proficiency in Python and SQL for high-quality, production-ready code, with a public GitHub repository showcasing ML projects.
- MUST have actively programmed in Python for 3 years
- SHOULD know SQL
- Expertise in ML libraries: scikit-learn, PySpark ML.
- Expertise in data manipulation libraries: pandas, Dask, Polars, PySpark.
- Expertise in data validation tools: Pydantic, Pandera.
- Strong knowledge of LLMs (OpenAI), including prompt engineering, tuning, and summarization tasks.
- Experience in healthcare or revenue cycle management is a plus.
Benefits
Comp & perks- Comprehensive health insurance coverage for associate, kids (2) and parents supporting physical and financial well being beyond the workplace.
- Accidental insurance coverage for the associate that adds an extra layer of security.
- Professional development programs with reimbursement support to help you upskill and grow with confidence.
- A workplace that is fully compliant with labor laws, including maternity and paternity benefits.
- Thoughtful experiences like welcome kits, company swag, and work anniversary gifts that recognize your journey with us.
- Benefits designed to support you at different stages of life and career , not just on day one.
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Hard Skills & Tools
machine learningdata preparationmodel buildingdeploymentmonitoringGradient Boosting TreesLightGBMscikit-learnPythonSQL