Principal AI Engineer

🕒 September 3

🇺🇸 United States – Remote

💵 $137.6k - $196.5k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Gainwell Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

📦 Logistics

⚕️ Healthcare Insurance

💰 Grant on 2023-06

Consulting • Logistics • Healthcare Insurance

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, 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 • Work with large healthcare datasets, performing data preprocessing, feature engineering, and model training • Ensure data processing complies with HIPAA and other regulatory standards • Implement and optimize AI models within Gainwell’s existing technology stack • Collaborate with software engineers to ensure seamless system integration • Monitor, refine, and optimize AI models for accuracy, efficiency, and speed using MLOps best practices • Stay current with AI/ML advancements and explore new technologies and methodologies • Ensure AI implementations follow healthcare 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 in AI/ML engineering • Hands-on experience with GenAI, NLP, deep learning, and computer vision • Strong coding skills in Python • Experience with TensorFlow and PyTorch • Experience with LLMs such as GPT, Gemini, and Claude, including prompt engineering and optimization • Familiarity with AWS, Azure, or GCP • Familiarity with MLOps practices • Familiarity with big data tools such as Spark, Hadoop, SQL/NoSQL • Experience developing, deploying, and fine-tuning LLMs for real-world applications • Strong problem-solving skills and ability to translate business challenges into AI-driven solutions • Understanding of HIPAA, CMS, and other healthcare regulatory standards is a plus • Video cameras must be used during all interviews and the initial week of orientation

🏖️ Benefits

• Work flexibility • Learning and career development • Technical credentials and certifications • Generous, flexible vacation policy • Educational assistance • Leadership and technical development academies • 401(k) employer match • Comprehensive health benefits • Occasional travel opportunities (0-10%)