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Nextgen Healthcare - Generative AI Model Developer - Artificial Intelligence

Nextgen Healthcare - Generative AI Model Developer - Artificial Intelligence

Nextgen HealthcareIndia
30+ days ago
Job description

AI and GenAI Model Development :

  • Lead data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.
  • Develop and fine-tune generative AI models for healthcare-specific tasks and use cases.
  • Leverage and adapt models such as OpenAI GPT, Gemini, Claude, and open-source tools like LLaMA to meet healthcare-specific needs.
  • Design, develop, test, validate, and deploy Machine Learning / Statistical models to build new products.

Agentic Frameworks and Workflows :

  • Design and implement agentic AI systems to automate workflows and enhance user interactions within EMR / EHR platforms.
  • Integrate generative AI into agentic frameworks to create intelligent, autonomous solutions that improve efficiency in healthcare processes.
  • AI System Deployment at Scale :

  • Deploy AI solutions in complex healthcare environments, ensuring scalability, reliability, and seamless integration with EMR / EHR systems.
  • Align AI systems with interoperability standards such as HL7, FHIR, and healthcare data formats.
  • Unstructured Data Processing :

  • Process and analyze unstructured healthcare data, including clinical notes, audio transcriptions, and diagnostic imaging, to build models that address specific clinical needs.
  • Regulatory Compliance and Security :

  • Ensure all AI models and workflows comply with healthcare data privacy regulations, including HIPAA and similar standards.
  • Build secure AI systems that maintain the confidentiality and integrity of sensitive patient data.
  • Cross-Functional Collaboration :

  • Collaborate with engineers, product managers, clinicians, and other stakeholders to translate clinical needs into AI-driven solutions.
  • Communicate complex technical concepts to non-technical stakeholders to drive alignment and innovation.
  • Research and Innovation :

  • Stay updated on the latest advancements in generative AI and apply them to improve existing healthcare processes.
  • Experiment with open-source and commercial GenAI models to explore their applicability in healthcare use cases.
  • Perform other duties that support the overall objective of the position.
  • Education Required :

  • Bachelor's degree.
  • Preferred :

  • Advanced degree (Masters or PhD) in Computer Science, Data Science, AI, Physics, Mathematics, Statistics, Informatics, Electrical / Mechanical / Biomedical Engineering, or related fields.
  • Or, any combination of education and experience which would provide the required qualifications for the position.

    Experience Required :

  • Extensive experience in developing and deploying AI / ML models, with a strong focus on generative AI techniques (e.g., GPT, LLaMA, Claude).
  • Experience with GenAI platforms like OpenAI, Gemini, Claude, and open-source tools such as LLaMA.
  • Preferred :

  • 8+ years of experience in AI / ML development with a focus on healthcare applications.
  • Demonstrated success in deploying scalable AI solutions in regulated environments.
  • Experience working with multiple GenAI models, including open-source and proprietary systems, and adapting them for industry-specific use cases.
  • Knowledge, Skills & Abilities :

    Knowledge of : Healthcare Domain Knowledge :

  • Deep understanding of EMR / EHR systems, healthcare workflows, and interoperability standards such as HL7 and FHIR.
  • Familiarity with clinical terminologies and taxonomies like ICD, CPT, and SNOMED.
  • Proficiency in Python and AI / ML frameworks such as TensorFlow, PyTorch, and Hugging Face.
  • Knowledge of MLOps practices, cloud platforms (AWS, Azure, GCP), and deployment of AI systems in production environments.
  • Strong understanding of healthcare privacy regulations, including HIPAA, and experience building systems that ensure compliance.
  • Skill in :

  • Communicate effectively with technical and non-technical stakeholders.
  • Ability to :

  • Proven ability to work in cross-functional teams.
  • (ref : hirist.tech)

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