GenAI Application Lead

2 Months ago • 6-12 Years
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About the job

SummaryBy Outscal

Develop and implement AI solutions, design and deploy AI/ML models, extract insights from data, ensure scalable model deployment. Must have 6+ years in Data Analysis/Machine Learning, 5+ years in ML/Deep Learning or NLP/NLG and 5+ years with AI/ML services from a cloud provider.

About the job

As an AI/ML Computational Science professional, you will develop and implement advanced AI solutions, collaborate with cross-functional teams, and solve complex problems to drive innovation and performance.

Responsibilities:

  • Develop and maintain innovative AI solutions.
  • Create system specs, test plans, and manage projects.
  • Design and deploy AI/ML models for various use cases.
  • Extract insights from complex datasets using advanced AI techniques.
  • Ensure scalable and reliable model deployment.
  • Travel may be required based on business needs.


Qualifications:

  • 6+ years in Data Analysis, Statistics, Machine Learning, or Computer Science.
  • 5+ years in machine learning/deep learning or NLP/NLG.
  • 5+ years with AI/ML services from a cloud provider.
  • 1+ year in building Conversational AI applications.
  • Bachelor's degree or equivalent (12+ years) or Associate's degree with 6 years of experience.


Preferred:

  • Experience with speech-to-text, text-to-speech, and chatbot technologies.


This is a remote position.

About The Company

ClinDCast is a full-service Healthcare IT product solutions and services company headquartered in the Wesley Chapel, Florida. ClinDCast supports Healthcare Providers and Payers across the country with Interoperability implementation Solutions, Data Conversion, Interface development, EHR & LIS Integrations and technology solutions.


We provide Healthcare Standard Interoperability Integration platforms for various Telehealth apps Hospitals, Clinics, Healthcare IOTs and other Healthcare data enablers with top EHR applications. Our products are built to leverage data exchange capabilities using industry adapted interoperability standards like #FHIR, $HL7, #CCDA etc.

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