Job highlights

- Experience with cloud ML platforms (AWS SageMaker,Azure ML,GCP Vertex AI)
- Experience with cloud ML platforms (AWS SageMaker,Azure ML,GCP Vertex AI) .
- Experience with advanced NLP models (BERT,transformers,Large Language Models . Disclaimer: This job posting has been aggregated from external source

nimble solutions is a leading provider of revenue cycle management solutions for ambulatory surgery centers (ASCs), surgical clinics, surgical hospitals, and anesthesia groups. Our tech-enabled solutions allow surgical organizations to streamline their revenue cycle processes, reduce administrative burden, and improve financial outcomes. Join over 1,100 surgical organizations that trust nimble solutions and its advisors to bring deep insights and actionable intelligence to maximize their revenue cycle.

Key Responsibilities

Design and implement ML models for healthcare revenue cycle applications (claim prediction, anomaly detection, outcome forecasting)

Develop NLP solutions for healthcare document analysis, claim interpretation, and compliance classification

Engineer production-grade ML pipelines with versioning, retraining, and A/B testing capabilities

Implement MLOps practices including model monitoring, performance tracking, and automated retraining

Work with large healthcare datasets, ensuring proper data preprocessing, feature engineering, and handling of missing/imbalanced data

Collaborate with data scientists to translate research into production implementations

Implement healthcare-compliant data pipelines that maintain HIPAA privacy and security standards

Monitor model performance in production, diagnose drift, and implement remediation strategies

Document model architecture, training procedures,



and deployment runbooks for operational teams

Stay current with ML research and emerging healthcare AI applications, proposing innovations to the product roadmap

Requirements

Healthcare domain expertise or experience applying ML in healthcare settings

RCM industry knowledge or familiarity with healthcare claim processing

Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)

Knowledge of responsible AI practices, model explainability, and bias mitigation

Published research or contributions to ML open-source projects

Experience with advanced NLP models (BERT, transformers, Large Language Models

Healthcare domain expertise or experience applying ML in healthcare settings

RCM industry knowledge or familiarity with healthcare claim processing

Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)

Knowledge of responsible AI practices, model explainability, and bias mitigation

Published research or contributions to ML open-source projects

Experience with advanced NLP models (BERT, transformers, Large Language Models

Healthcare domain expertise or experience applying ML in healthcare settings

RCM industry knowledge or familiarity with healthcare claim processing

Experience with cloud ML platforms (AWS SageMaker, Azure ML, GCP Vertex AI)

Knowledge of responsible AI practices, model explainability, and bias mitigation

Published research or contributions to ML open-source projects

Experience with advanced NLP models (BERT, transformers, Large Language Models

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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