We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

AI Developer (Remote) at Medical Review Institute of America. Location Information: Salt Lake City, UT, US. . Description. . WHO WE ARE. Founded in 1983, the Medical Review Institute of America (MRIoA) is the market leader for technology-enabled utilization management and clinical medical review solutions. We have an outstanding reputation for excellence and achieve continual improvement.. . At MRIoA, we believe our employees are the key to our success. Here, you are more than just a cog in the machine – you are a valued member of our team.. 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.. A team atmosphere with fun events and prizes scheduled throughout the year.. 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 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, 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. . Skills and Experience:. 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.. Preferred Qualifications. Prior experience working in healthcare or regulated industries. . Understanding of healthcare data standards and regulatory compliance (HIPAA, HITRUST). . Contributions to open-source AI/ML projects or published research. . Familiarity with data visualization tools (e.g., Streamlit, Dash) or API development.. Education:. Bachelor’s degree in a technical field (Computer Science, Engineering, Information Technology) or equivalent combination of education and experience in a related technical field. . Master’s degree preferred. Work Environment:. Ability to sit at a desk, utilize a computer, telephone, and other basic office equipment is required. This role is designed to be a remote position (work-from-home).. Diversity creates a healthier atmosphere: 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 before beginning employment. All newly hired employees will take a Drug Screen, as well as agreeing to all necessary Compliance Regulations on their first day of employment.. . California Consumer Privacy Act (CCPA) Information:. Sensitive Personal Info. : MRIoA may collect sensitive personal info such as real name, nickname or alias, postal address, telephone number, email address, Social Security number, signature, online identifier, Internet Protocol address, driver’s license number, or state identification card number, and passport number.. Data Access and Correction:. Applicants can access their data and request corrections. For questions and/or requests to edit, delete, or correct data, please email the Medical Review Institute at [email protected]. . .