Principal AI Engineer

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Gainwell Technologies

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Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

📋 Description

• Design, build, and train machine learning and deep learning models, including GenAI, NLP, and predictive analytics solutions for healthcare applications. • Develop, test, and deploy AI solutions in cloud and on-premise environments, ensuring reliability, scalability, and real-world impact. • Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training while ensuring compliance with HIPAA and other regulatory standards. • Implement and optimize AI models within Gainwell’s existing technology stack, collaborating with software engineers to ensure seamless integration. • Continuously monitor, refine, and optimize AI models for accuracy, efficiency, and speed, leveraging MLOps best practices. • Stay updated with the latest AI/ML advancements, exploring new technologies and methodologies to enhance solution effectiveness. • Ensure AI implementations adhere to healthcare industry regulations, ethical AI principles, and data privacy standards. • Identify opportunities to automate workflows and optimize business processes using AI-driven solutions.

🎯 Requirements

• Master’s or Ph.D in Computer Science, AI, Data Science, or a related field. • 5+ years of experience in AI/ML engineering, with a focus on developing and deploying AI solutions. • Hands-on expertise in machine learning, deep learning, GenAI, NLP, and computer vision. • Strong programming skills in Python, TensorFlow, PyTorch, and other AI frameworks. • Experience developing, deploying and finetuning LLMs (GPT, Gemini, Claude or similar) for real world applications including prompt engineering, model optimization and inference efficiency. • Experience with cloud platforms (AWS, Azure, or GCP) and MLOps for scalable AI deployments. • Proficiency in working with big data technologies (Spark, Hadoop, SQL, NoSQL databases). • Strong problem-solving skills with the ability to translate business challenges into AI-driven solutions. • Knowledge of healthcare AI applications and regulatory compliance (HIPAA, CMS) is a plus.

🏖️ Benefits

• Fully Remote Opportunity – Work from anywhere in the U.S. • Minimal Travel Required – Occasional travel opportunities (0-10%). • Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment.