Interesting Job Opportunity: Neolytix - Artificial Intelligence/Machine Learning Engineer

About The Role

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.