Position: MLOps Engineer - US Healthcare Claims Management
Location: Gurgaon, Sector 18, Delhi NCR, India,UK ShiftCompany: NeolytixAbout the Role:We are looking for an AI/ML Engineer to develop and implement intelligent claims analysis, prioritization, and denial resolution models for our AI-driven app for healthcare claims management. The ideal candidate will work closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) that optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and improve claim resolution efficiency.Key Responsibilities:
- Design and implement AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization.
- Develop and fine-tune LLMs and SLMs to enhance automation in claims management workflows. Preprocess and structure claims data for effective model training.
- Deploy, manage, and scale AI models using Azure-based cloud services.
- Continuously monitor model performance, retrain, and refine algorithms to improve accuracy and operational efficiency.
- Ensure compliance with HIPAA, PHI security standards, and healthcare data privacy regulations.
- Document technical solutions and create best practices for scalable AI-driven claims management.
Qualifications:
- Bachelor's or master's degree in computer science, AI/ML, Engineering, or a related field.
- 3+ years of experience in AI/ML engineering, preferably in healthcare claims automation.
- Proficiency in Python, with strong knowledge of LLMs, NLP, and text analytics for claims processing.
- Experience with Azure ML services for deploying machine learning models.
- Familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes.
- Strong analytical, problem-solving, and teamwork skills.
Preferred Skills:
- Experience with AI-driven denial resolution and automated claims adjudication.
- Understanding of EHR/EMR systems and insurance reimbursement processes.
- Familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to contribute to innovative AI solutions in the healthcare industry.
- Dynamic and collaborative work environment.
- Opportunities for continuous learning and professional growth.
To Apply: Submit your resume and a cover letter detailing your relevant experience and interest in the role to [email address].Job Description: AI/ML Engineer - US Healthcare Claims ManagementPosition: MLOps Engineer - US Healthcare Claims ManagementLocation: Gurgaon, Delhi NCR, IndiaCompany: NeolytixAbout the Role:We are looking for an AI/ML Engineer to develop and implement intelligent claims analysis, prioritization, and denial resolution models for our AI-driven app for healthcare claims management.
The ideal candidate will work closely with healthcare experts and engineers to orchestrate Large Language Models (LLMs) and Small Language Models (SLMs) that optimize revenue cycle processes, minimize Accounts Receivable (AR) dollars, and improve claim resolution efficiency.Key Responsibilities:
- Design and implement AI/ML models for claims prioritization, denial resolution, and revenue cycle optimization.
- Develop and fine-tune LLMs and SLMs to enhance automation in claims management workflows. Preprocess and structure claims data for effective model training.
- Deploy, manage, and scale AI models using Azure-based cloud services.
- Continuously monitor model performance, retrain, and refine algorithms to improve accuracy and operational efficiency.
- Ensure compliance with HIPAA, PHI security standards, and healthcare data privacy regulations.
- Document technical solutions and create best practices for scalable AI-driven claims management.
Qualifications:
- Bachelor's or master's degree in computer science, AI/ML, Engineering, or a related field.
- 3+ years of experience in AI/ML engineering, preferably in healthcare claims automation.
- Proficiency in Python, with strong knowledge of LLMs, NLP, and text analytics for claims processing.
- Experience with Azure ML services for deploying machine learning models.
- Familiarity with healthcare claims data formats (EDI 837/835) and revenue cycle processes.
- Strong analytical, problem-solving, and teamwork skills.
Preferred Skills:
- Experience with AI-driven denial resolution and automated claims adjudication.
- Understanding of EHR/EMR systems and insurance reimbursement processes.
- Familiarity with DevOps, CI/CD pipelines, and MLOps for scalable AI deployments.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to contribute to innovative AI solutions in the healthcare industry.
- Dynamic and collaborative work environment.
- Opportunities for continuous learning and professional growth.
To Apply: Submit your resume and a cover letter detailing your relevant experience and interest in the role to [email protected]
