Senior Generative AI Scientist II – Model Risk & Validation

Job not on LinkedIn

🕒 June 23

🇺🇸 United States – Remote

💵 $145k - $170k / year

⏰ Full Time

🟠 Senior

🧠 AI Research Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• delivering solutions that help our clients identify payment integrity issues, reduce the cost of healthcare processes, or improve the quality of healthcare outcomes. • conduct independent model validation of existing models for benchmarking, assessment, and gauging effectiveness. • determine aspects of model drift and related data drift for the purpose of model risk management (MRM). • apply deep expertise with AI/ML/GenAI model development, including hands-on experience with model building and model evaluation. • benchmark and potentially rebuild existing models as needed using updated data, and potentially newer, more modern and effective algorithms. • actively drive improvements in model monitoring activities, including methods for model registration, model metadata management, and conceptualizing approaches for related tools and techniques. • complete all responsibilities as outlined in the annual performance review and/or goal setting. • complete all special projects and other duties as assigned.

🎯 Requirements

• Graduate Degree in a quantitative discipline such as Computer Science/Engineering, Statistics, Operations Research covering Advanced Statistics, Machine learning and AI. • Experience with the latest techniques in natural language processing including transformers, fine-tuning LLMs, measuring/benchmarking and deploying LLMs with tools such as HuggingFace, Langchain, LLAMA/Mistral and OpenAI, vector databases. • 5+ years of hands-on data science/AI experience, using typical machine learning and data science tools including pandas, scikit-learn, keras, nltk, and TensorFlow/PyTorch, GPU. • General understanding of Responsible AI (RAI), including explainability (XAI), AI NIST RMF, and related AI risk management frameworks. • Experience and understanding evaluating models for bias and fairness, with aptitude for detecting bias in the model design and data, as well as using metrics such as SHAP and LIME. • Understanding appropriate model metrics and techniques for managing, evaluating and monitoring GenAI models and LLMs • Experience building production-grade machine learning deployments on AWS, Azure, or GCP. • Experience working with Apache Spark™ and large-scale distributed datasets. • Experience communicating technical concepts to non-technical and technical audiences is a plus. • Passion for collaboration, learn it all mindset and driving value with AI.

🏖️ Benefits

• medical, dental, vision, disability, and life insurance coverage • 401(k) savings plans • paid family leave • 9 paid holidays per year • 17-27 days of Paid Time Off (PTO) per year, depending on specific level and length of service with Cotiviti