Experienced Data Science AI Engineer

🕒 May 26

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Gainwell Technologies

10,000+ employees

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Healthcare Insurance • Human Services • Healthcare

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.

📋 Description

• Design and build AI Solutions that use machine 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 solutions within Gainwell’s existing technology stack, collaborating with engineering teams to ensure seamless integration • Continuously monitor, refine, and optimize AI solutions 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 production operations involving machine learning, deep learning and GenAI • Strong programming skills in Python, AI Agent Frameworks (Langchain, Crew.ai), 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

• generous, flexible vacation policy • educational assistance • comprehensive health benefits • 401(k) employer match • leadership and technical development academies

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