Gainwell Technologies
- AI Model Development – Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications.
- End-to-End AI Solution Deployment – Develop, test, and deploy AI solutions in cloud and on-premise
environments, ensuring reliability, scalability, and real-world impact. - Data Engineering & Processing – Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards.
- System Integration – Implement and optimize AI models within Gainwell’s existing technology stack,
collaborating with software engineers to ensure seamless integration. - Performance Optimization – Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices.
- AI Research & Innovation – Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness.
- Compliance & Security – Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards.
- Automation & Workflow Enhancement – Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.
- Developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.