AI Developer - Fully Remote; U.S

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 to capture lessons learned and incorporate continuous improvements.

Skills and Experience:

• 3+ years of experience developing Artificial Intelligence (AI) models
• 3+ years of experience developing Machine Learning (ML) models
• 3+ years of experience deploying AI models in production environments
• 3+ years of experience deploying ML models in production environments
• Experience with AI/ML libraries such as Tensor Flow, PyTorch, and scikit-learn
• Experience deploying AI/ML models on cloud platforms (AWS, Azure, or GCP)
• Experience in one or more AI/ML domains such as NLP, computer vision, or time series forecasting
• Experience working in healthcare (Advantage)
• Proficiency in Python (Advantage)
• Proficiency inNode.js (Advantage)

Education:

• Bachelor’s degree in Computer Science, or a related field
• Master’s degree in Computer Science, or a related field (Advantage)

Work…