Remote AI Developer (Healthcare) at Medical Review Institute of America

Mountain View, California, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Dec, 25

Salary

0.0

Posted On

26 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Machine Learning, Data Preparation, Model Development, Python, Node.js, MLOps, NLP, Deep Learning, Data Cleansing, Feature Engineering, Model Evaluation, Cloud Platforms, Healthcare Data Standards, Data Visualization, API Development

Industry

Hospitals and Health Care

Description

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 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. Employees are required to adhere to all applicable HIPAA regulations and company policies and procedures regarding the confidentiality, privacy, and security of sensitive health information. California Consumer Privacy Act (CCPA) Information (California Residents Only): 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 HR@mrioa.com. 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 domains 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.

Responsibilities

The AI Developer will lead the design, development, and deployment of AI/ML solutions across the enterprise. This includes collaborating with teams to define AI use cases, developing scalable solutions, and ensuring compliance with regulatory standards.