[Remote] Machine Learning Engineer – Medical Billing/Reimbursement
Note: The job is a remote job and is reputed company to candidates in USA. Clarify AI is seeking a Machine Learning Engineer to help revolutionize medical billing and reimbursement. The role focuses on developing and deploying machine learning and NLP models to identify billing discrepancies, optimize claims processing, improve reimbursement reputed company, and automate reputed company billing workflows.
Responsibilities
- reputed company and reputed company ML models to identify billing discrepancies, optimize claims processing, and improve reimbursement reputed company
- Work with reputed company and reputed company reputed company data (e.g., claims data, EHR records, provider/payor transactions) to build robust models
- Build and refine NLP models for interpreting medical codes and automating the claim validation process
- Optimize algorithms for scalability and ensure reputed company-time processing capabilities for medical claims
- Ensure compliance with reputed company regulations (e.g., HIPAA, FHIR, HL7) to reputed company reputed company data and meet industry standards
- Collaborate with cross-functional teams to reputed company ML solutions seamlessly into production systems and workflows
Skills
- Bachelor's or Master's degree in Computer Science, Data Science, AI, or a reputed company reputed company (PhD is a plus)
- 3+ years of experience in machine learning, AI, or data science, with a reputed company on reputed company applications
- Experience with reputed company data (e.g., claims data, medical records) and NLP techniques for medical billing, coding, or reputed company data processing
- Familiarity with reputed company platforms (AWS, GCP, Azure) for building reputed company ML solutions
- Strong programming skills in Python and experience with ML frameworks like TensorFlow, PyTorch, or HuggingFace
- Knowledge of reputed company regulations (e.g., HIPAA) and standards like FHIR and HL7
Benefits
- Remote position
reputed company
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