Job Url: https://www.remoterocketship.com/company/mrioa/jobs/ai-developer-united-states Job Description: Medical Review Institute of America, LLC Website LinkedIn All Job Openings Medical Review Institute of America, LLC is a company specializing in clinical and utilization review services. They offer a comprehensive suite of data-driven solutions, including prior authorization optimization, second opinions, and specialty drug reviews, aimed at ensuring the right care is delivered at the right time and in the right place. MRIoA provides services to health plans, pharmacy benefit managers, government entities, and self-insured employers, among others. They leverage technology and a network of professionals to streamline clinical decisions, enhance provider performance, and ensure compliance with regulatory requirements across all 50 states. Their tools and platforms are designed to optimize clinical reviews, reduce costs, and improve patient outcomes through evidence-based care pathways and telehealth solutions. Review of Health, • Pharmacy and • Workers Compensation claims. • State and Federal level External Review • Nurse Review 501 - 1000 employees Founded 1983 ⚕️ Healthcare Insurance ☁️ SaaS AI Developer June 10 🇺🇸 United States – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🤖 AI Engineer AWS Azure Cloud Docker Google Cloud Platform JavaScript Kubernetes Node.js Python PyTorch Scikit-Learn Tensorflow Apply Now Receive Emails with Similar Jobs Report problem 📋 Description • 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 • 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 • 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 • 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) • 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 🎯 Requirements • 3+ years of experience developing and deploying AI/ML models in production environments • Proficiency in Python (preferred) and/or Node.js, with experience using AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn • Hands-on experience with data preprocessing, feature engineering, and model evaluation techniques • Experience deploying AI/ML models on cloud platforms (AWS, Azure, or GCP) • Familiarity with containerization and orchestration (Docker, Kubernetes) • Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker, etc.) • Strong understanding of data structures, algorithms, and software engineering principles • Excellent communication, collaboration, and stakeholder engagement skills • Experience in one or more AI/ML domains such as NLP, computer vision, or time series forecasting • Excellent communication and collaboration skills • Strong analytical and problem-solving skills • Demonstrated ability to work in fast-paced, cross-functional environments 🏖️ Benefits • healthcare • vision and dental insurance • a generous 401k match • paid vacation • personal time • holidays • Growth and training opportunities • A team atmosphere with fun events and prizes scheduled throughout the year