Machine Learning/data Scientist

6 days ago

Gurgaon Village Gurugram Haryana, India Neolytix Full time

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.

Pay: Up to ₹1,000,000.00 per year

**Benefits**:

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

Schedule:

- Evening shift
- Monday to Friday

Supplemental Pay:

- Performance bonus

Work Location: In person

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