Note: The job is a remote job and is open to candidates in USA. Ennoble Care is a mobile primary care, palliative care, and hospice service provider dedicated to delivering exceptional care for senior citizens and individuals in hospice. They are seeking a Mid-Level AI Transformation Engineer to drive AI innovation within their healthcare organization, bridging the gap between AI technology and compassionate healthcare delivery to improve patient outcomes and enhance care quality.

Responsibilities

AI Solution Development: Design, develop, and deploy AI-powered solutions tailored to senior care and hospice operations, including predictive analytics for patient deterioration, automated documentation systems, and intelligent care coordination tools
Healthcare Process Optimization: Analyze existing clinical and operational workflows to identify opportunities for AI integration that enhance efficiency while maintaining the human-centered approach essential to hospice and senior care
Data Strategy & Integration: Collaborate with IT and clinical teams to integrate AI solutions with existing EHR systems, ensuring HIPAA compliance and data security while maintaining accessibility for healthcare providers
Clinical Decision Support: Build and refine machine learning models that assist healthcare providers in early detection of complications, symptom management, and personalized care planning for elderly and end-of-life patients
Stakeholder Collaboration: Work closely with physicians, nurses, administrators, and family services teams to understand needs, gather requirements, and ensure AI solutions align with clinical best practices and organizational goals
Training & Change Management: Develop training materials and conduct workshops to help staff understand and effectively utilize AI tools, ensuring smooth adoption and maximizing value realization
Performance Monitoring: Establish KPIs and continuously monitor AI system performance, making iterative improvements based on feedback and outcomes data
Regulatory Compliance: Ensure all AI implementations comply with healthcare regulations including HIPAA, FDA guidelines for clinical decision support, and ethical AI principles in healthcare
Innovation Research: Stay current with emerging AI technologies, healthcare AI applications, and industry best practices, recommending new opportunities for AI-driven improvements in senior and hospice care

Skills

Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
3-5 years of experience in AI/ML engineering, data science, or related technical roles
Proven experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) and programming languages (Python, R, C#)
Strong understanding of healthcare data standards (HL7, FHIR) and electronic health record systems
Knowledge of HIPAA compliance, data privacy regulations, and healthcare security requirements
Experience with cloud platforms (AWS, Azure, or GCP) and deploying ML models in production environments
Excellent communication skills with ability to explain technical concepts to non-technical stakeholders
Demonstrated ability to work collaboratively in cross-functional healthcare teams
Strong problem-solving skills and ability to translate business requirements into technical solutions
Commitment to ethical AI development and patient-centered care philosophy
Master's degree in Computer Science, Artificial Intelligence, Biomedical Informatics, or related field
Previous healthcare experience, particularly in geriatric care, palliative care, or hospice settings
Experience with natural language processing (NLP) for clinical documentation and medical text analysis
Familiarity with predictive analytics for patient risk stratification and outcome prediction
Knowledge of telemedicine platforms and remote patient monitoring technologies
Experience implementing large language models (LLMs) or generative AI in healthcare applications
Understanding of geriatric pharmacology, chronic disease management, and end-of-life care protocols
Certifications in healthcare IT (CAHIMS, CPHIMS) or AI/ML (AWS ML Specialty, Google ML Engineer)
Experience with agile development methodologies in healthcare environments

Benefits

Comprehensive health, dental, and vision insurance
Flexible remote work arrangement
Generous paid time off and holiday schedule
Opportunity to make a meaningful impact on vulnerable populations
Collaborative, mission-driven work environment
Medical, Dental, Vision and supplementary benefits such as Life Insurance, Short Term and Long Term Disability, Flexible Spending Accounts for Medical and Dependent Care, Accident, Critical Illness, and Hospital Indemnity.
Paid Time Off
Paid Office Holidays
Paid Sick Time
401(k) with up to 3% company match
Referral Program
Payactiv: pay-on-demand. Cash out earned money when and where you need it!

Company Overview

Ennoble Care provides hospice, palliative, homebound, community, healthcare, mental health, and aging in place. It was founded in undefined, and is headquartered in Hackensack, New Jersey, USA, with a workforce of 501-1000 employees. Its website is https://ennoblecare.com.

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[Remote] Mid-Level AI Transformation Engineer (Remote)