Principal AI Engineer
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Job Description
Principal AI Engineer designing and deploying GenAI, NLP, and predictive analytics solutions. Improving healthcare technology platforms through scalable, compliant AI systems.
Responsibilities:
- 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 while ensuring HIPAA and regulatory compliance
- 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 updated with AI/ML advancements and explore new technologies and methodologies
- Ensure AI implementations adhere to 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, including hands-on work with GenAI, NLP, deep learning, and computer vision
- Strong coding skills in Python and frameworks like TensorFlow and PyTorch
- Experience with LLMs (e.g., GPT, Gemini, Claude), including prompt engineering and optimization
- Familiarity with cloud platforms (AWS, Azure, GCP), MLOps practices, and big data tools (Spark, Hadoop, SQL/NoSQL)
- Experience developing, deploying, and fine-tuning LLMs 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
- Plus for experience in healthcare AI and understanding of regulatory standards like HIPAA and CMS
- Video cameras must be used during all interviews and during the initial week of orientation
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
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