Jobs via Dice
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Job Summary AI / ML Development
Key Responsibilities
Design, develop, train, and deploy ML/DL models for clinical decision support
Patient risk prediction
Medical imaging analysis
NLP for clinical notes (EHR/EMR)
Claims analytics & fraud detection
Build end-to-end ML pipelines (data ingestion → deployment)
Optimize model accuracy, scalability, and performance
Healthcare Data & Domain
Work with datasets such as EHR/EMR
HL7 / FHIR
Claims, payer & provider data
Clinical notes, labs, imaging metadata
Translate healthcare business and clinical needs into AI solutions
Ensure HIPAA, data privacy, and security compliance
Engineering & Deployment
Develop solutions using Python, TensorFlow, PyTorch, Scikit-learn
Deploy models using Docker, Kubernetes, and cloud platforms (AWS / Azure / Google Cloud Platform)
Build APIs and microservices for ML model integration
Implement MLOps, CI/CD, model monitoring, and retraining
Collaboration
Work closely with data engineers, clinicians, product managers, and stakeholders
Communicate AI/ML concepts to non-technical audiences
Support production issues and continuous improvement
Seniority Level Entry level
Employment Type Full‑time
Job Function Engineering and Information Technology, Software Development
Location Stockton, GA
#J-18808-Ljbffr
Job Summary AI / ML Development
Key Responsibilities
Design, develop, train, and deploy ML/DL models for clinical decision support
Patient risk prediction
Medical imaging analysis
NLP for clinical notes (EHR/EMR)
Claims analytics & fraud detection
Build end-to-end ML pipelines (data ingestion → deployment)
Optimize model accuracy, scalability, and performance
Healthcare Data & Domain
Work with datasets such as EHR/EMR
HL7 / FHIR
Claims, payer & provider data
Clinical notes, labs, imaging metadata
Translate healthcare business and clinical needs into AI solutions
Ensure HIPAA, data privacy, and security compliance
Engineering & Deployment
Develop solutions using Python, TensorFlow, PyTorch, Scikit-learn
Deploy models using Docker, Kubernetes, and cloud platforms (AWS / Azure / Google Cloud Platform)
Build APIs and microservices for ML model integration
Implement MLOps, CI/CD, model monitoring, and retraining
Collaboration
Work closely with data engineers, clinicians, product managers, and stakeholders
Communicate AI/ML concepts to non-technical audiences
Support production issues and continuous improvement
Seniority Level Entry level
Employment Type Full‑time
Job Function Engineering and Information Technology, Software Development
Location Stockton, GA
#J-18808-Ljbffr