AI/ML Architect – Healthcare Domain

Location

Atlanta, Georgia, United States

Salary

Not specified

Company

Akash pawar

Job description

• Role & Company / Project Overview We are looking for an experienced AI/ML Architect with strong healthcare domain expertise (Healthcare Payer / Provider) to design, develop, and implement scalable AI-driven solutions that improve clinical outcomes, operational efficiency, and healthcare data analytics. • Key Responsibilities & Daily Duties - Design and implement end-to-end AI/ML architectures for healthcare applications - Develop AI-powered solutions for clinical decision support, patient risk prediction, and healthcare analytics - Work with complex healthcare data, including EHR/EMR, claims, clinical, and patient data - Implement Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) solutions - Ensure strict healthcare data privacy, security, and regulatory compliance, including HIPAA - Collaborate with healthcare stakeholders, data scientists, ML engineers, and cloud teams - Build scalable AI/ML pipelines and deploy models into production environments • Required Technical Skills - AI/ML Architecture & Solution Design - Machine Learning, Deep Learning & NLP - Generative AI, LLMs & RAG - Python, TensorFlow, PyTorch, Scikit-learn - AWS / Azure / Google Cloud AI Services - MLOps, ML Pipelines & Model Deployment - Healthcare Data Analytics – EHR/EMR, Claims & Clinical Data - HIPAA Compliance & Healthcare Data Security - SQL, Data Engineering & API Integration • Preferred Skills - Healthcare payer/provider systems - FHIR, HL7 and healthcare interoperability - Predictive Analytics and Clinical Decision Support - Responsible AI, Model Governance and Explainable AI • Working Hours, Shifts & Location Details - Location: Atlanta, Georgia, United States • Application Instructions - Interested candidates should submit their updated resume to the contact email provided.