M
AI Developer - Fully Remote (U.S. Based)
Medical Review Institute of America
17d ago
0DevRemote, USjobspy_indeed
remoteindeed
Job Description
**Who We Are \- Motivated by Purpose. Powered by Clinical Expertise.**
Founded in 1983, we’re a clinically\-driven, tech\-enabled utilization management company offering expert clinical reviews, regulatory guidance, and actionable insights to healthcare organizations.
**Excellence starts with our people.**
**WE OFFER**
* A competitive compensation package.
* Benefits include healthcare, vision and dental insurance, a generous 401k match, paid vacation, personal time, and holidays.
* Growth and training opportunities.
* An award\-winning remote work environment
**POSITION OVERVIEW**
MRIoA is seeking a skilled and forward\-thinking AI Developer to lead the design, development, and deployment of applications (including AI/ML solutions), using coding assistants, across the enterprise. This role requires a strong understanding of AI, machine learning, data preparation, and model training/fine\-tuning. 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 solution for AI use cases and align solution 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 team 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, business, training, communications, and customer success teams.
* Provide clear documentation, materials, and support to promote user adoption of AI tools.
* Conduct retrospectives
