Sr, AI Engineer

• 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.
• 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 t