GenAI Application Lead
Full Time • Fully Remote - US
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.
Empowering the Future of Healthcare
The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.
ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.
(if you already have a resume on Indeed)