MLOps Engineer

About the job

Job Description: AI/ML Engineer - US Healthcare Claims Management Position: MLOps Engineer - US Healthcare Claims Management Location: Gurgaon, Delhi NCR, India Company: Neolytix 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.

Requirements

• AI/ML
• Python
• Azure

Qualifications

• Bachelor’s
• Master’s

Preferred Technologies

• AI/ML
• Python
• Azure

Benefits

• Health insurance
• Paid sick time
• Paid time off
• Provident Fund