AI Engineer

Nimblercm; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Nimblercm in Hyderabad, India, seeks a Machine Learning Engineer to design and implement ML models for healthcare revenue cycle applications. The role involves developing NLP solutions and collaborating with data scientists to translate research into production. Candidates should have healthcare domain expertise and experience with cloud ML platforms like AWS SageMaker. The company offers a dynamic environment to leverage cutting-edge ML technologies for impactful healthcare solutions.

Qualifications

• Healthcare domain expertise or experience applying ML in healthcare settings.
• Experience with cloud ML platforms such as AWS SageMaker or Azure ML.
• Familiarity with healthcare claim processing.

Responsibilities

• Design and implement ML models for healthcare revenue cycle applications.
• Develop NLP solutions for healthcare document analysis and claim interpretation.
• Collaborate with data scientists to translate research into production implementations.

Skills

Healthcare domain expertise or experience applying ML in healthcare settings

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

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

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

Job description

Company Overview

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)