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Remote AI Developer (Healthcare)
Remote AI Developer (Healthcare)Medical Review Institute of America • Salt Lake City, UT, US
Remote AI Developer (Healthcare)

Remote AI Developer (Healthcare)

Medical Review Institute of America • Salt Lake City, UT, US
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Overview

MRIoA is the Medical Review Institute of America, founded in 1983. We are the market leader for technology-enabled utilization management and clinical medical review solutions. We believe our employees are the key to our success and value them as team members. We offer a competitive compensation package, comprehensive benefits, growth and training opportunities, and a collaborative, team-oriented environment.

Position Overview

MRIoA is seeking a skilled and forward-thinking AI Developer to lead the design, development, and deployment of AI / ML solutions across the enterprise. This role requires a strong understanding of machine learning, data preparation, and model development. The ideal candidate will work closely with cross-functional teams and external partners to identify opportunities for AI / ML adoption and deliver innovative, scalable solutions that align with our business goals and compliance standards.

Major Responsibilities or Assigned Duties

  • AI / ML Solution Development : Collaborate with business, operations, and technology teams to define solutions for AI use cases and align delivery timelines.
  • Partner with internal teams and third-party vendors to develop AI systems that are efficient, compliant, and scalable.
  • Lead rapid prototyping efforts to demonstrate the value of AI / ML applications and inform broader adoption.
  • Stay current with emerging AI / ML trends and technologies; contribute to the organization's long-term AI strategy.
  • Model Development & Engineering : Research, design, and implement machine learning models (supervised, unsupervised, reinforcement learning), including deep learning and NLP.
  • Conduct data preparation, cleansing, and feature engineering to support AI / ML workflows.
  • Train, validate, and fine-tune models to optimize performance, accuracy, and efficiency.
  • Build reusable, production-ready pipelines for AI model deployment using MLOps best practices.
  • Integration, Testing, and Maintenance : Collaborate with application development teams to integrate AI / ML capabilities into existing products and platforms.
  • Design and implement robust testing and evaluation frameworks for model validation.
  • Monitor, maintain, and continuously improve deployed models to ensure business relevance and performance.
  • Ensure all AI systems are secure and compliant with regulatory standards (e.g., HITRUST, SOC 2, HIPAA).
  • Cross-functional Collaboration & Enablement : Support transition of business processes to AI-driven solutions by partnering with operations, training, communications, and customer success teams.
  • Provide clear documentation, materials, and support to promote user adoption of AI tools.
  • Conduct retrospectives to capture lessons learned and incorporate continuous improvements.

Work Environment

This role is designed to be a remote position (work-from-home). Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required.

Requirements

Experience

  • At least 3 years of experience developing and deploying AI / ML models in production environments.
  • Experience deploying AI / ML models on cloud platforms (AWS, Azure, or GCP).
  • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, etc.).
  • Experience using AI / ML libraries such as TensorFlow, PyTorch, and scikit-learn.
  • Experience with data preprocessing, feature engineering, and model evaluation techniques.
  • Experience in one AI / ML domain such as NLP, computer vision, or time series forecasting.
  • Experience working in healthcare (Advantage).
  • Hard Skills

  • Proficiency in Python and / or Node.js
  • Knowledge of containerization and orchestration (Docker, Kubernetes)
  • Knowledge of data structures, algorithms, and software engineering principles
  • Knowledge of healthcare data standards and regulatory compliance, such as HIPAA and HITRUST (Advantage)
  • Knowledge of data visualization tools (e.g., Streamlit, Dash) or API development (Advantage)
  • Education

  • Bachelor's degree in Computer Science, Engineering, or Information Technology
  • Compliance & Equal Opportunity

    All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. This company is a drug-free workplace. All candidates are required to pass a background screen and drug screen. Compliance with HIPAA and company policies regarding the confidentiality, privacy, and security of sensitive health information is required. California Consumer Privacy Act (CCPA) information for California residents is collected as part of the application process.

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