Gainwell Technologies is seeking to improve healthcare outcomes and operational efficiency by designing, developing, and deploying advanced AI solutions, including Generative AI (GenAI), across their healthcare technology platforms.
Requirements
- Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency.
- Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks.
- Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions.
- Extensive AI/ML Experience: 5+ years in AI/ML engineering, including hands-on work with GenAI, NLP, deep learning, and computer vision.
- Technical Proficiency: Strong coding skills in Python and frameworks like TensorFlow and PyTorch; experienced with LLMs (e.g., GPT, Gemini, Claude) including prompt engineering and optimization.
- Scalable Deployment Skills: Familiar with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL).
- Domain Knowledge: Strong problem-solving abilities with a plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS.
Responsibilities
- 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.
Other
- Advanced Education: Master’s or Ph.D. in Computer Science, AI, Data Science, or a related field.
- Fully Remote Opportunity – Work from anywhere in the U.S.
- Minimal Travel Required – Occasional travel opportunities (0-10%).
- Video cameras must be used during all interviews, as well as during the initial week of orientation
- The deadline to submit applications for this posting is September 2, 2025.
