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ChatGPT Jobs · 4 days ago

Mid-Level AI Transformation Engineer (Remote)

United States

Full-time

Remote

Mid Level

$95K/yr - $145K/yr

3+ years exp

Ennoble Care is a mobile primary care, palliative care, and hospice service provider. They are seeking a talented Mid-Level AI Transformation Engineer to drive artificial intelligence innovation within their healthcare organization, focusing on improving patient outcomes and enhancing the quality of care for vulnerable populations.

Computer Software

No H1B

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

Qualification

AI/ML engineeringHealthcare data standardsMachine learning frameworksCloud platformsHIPAA complianceProgramming languagesData processingCommitment to ethical AICommunicationProblem-solving skillsCollaborative teamwork

Required

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

Preferred

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

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

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