Medical Review Institute of America, LLC

Lead design, development, deployment, and maintenance of AI/ML solutions ensuring compliance and scalability across the enterprise. | 3+ years AI/ML production experience, Python and/or Node.js proficiency, cloud deployment experience, MLOps knowledge, healthcare domain familiarity preferred. | Description: • Lead the design, development, and deployment of AI/ML solutions across the enterprise. • 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. • 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: • 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). • 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). • Bachelor’s degree in Computer Science, Engineering, or Information Technology. Benefits: • A competitive compensation package. • 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.