Generative AI Scientist - (Model Risk & Validation)

Cotiviti • Remote,

1d • Remote

About The Position

Join a recently formed team focused on Model Risk and Responsible AI. The Generative AI Scientist - Risk will apply knowledge and experience to real world problems and seek to utilize their skills to reduce the cost of healthcare and improve health quality and outcomes. As a Data Scientist on this team, you will focus on three main project areas: Model Validation, Model Metrics and Monitoring, and Responsible AI. This requires someone with depth in AI/ML/GenAI from a data science perspective, versatility to think in terms of technology systems, and some understanding of emerging areas of Responsible AI and AI Ethics. This is for an ambitious technologist, with the flexibility and personal drive to succeed in a dynamic environment where they are judged based on their direct impact to business outcomes.

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.
• 1+ 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.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP.
• Experience working with Apache Spark™ and large-scale distributed datasets.
• Ability to work independently as well as collaborate as a team with a sense of urgency.
• Professional with ability to properly handle confidential information.
• Be value-driven, understand that success is based on the impact of your work rather than its complexity or the level of effort.
• Ability to handle multiple tasks, prioritize and meet deadlines.
• Ability to work within a matrixed organization.
• Proficiency in all required skills and competencies above.
• Communicating with others and teamwork.
• Assessing the accuracy, neatness, and thoroughness of the work assigned.

Nice To Haves

• 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.
• Familiarity with healthcare payor ecosystem and related data.
• 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.
• Understanding and familiarity with model governance and data governance best practices.
• Strong understanding of technology systems for model development (e.g., Python, DataRobot, AWS Sagemaker), model deployments (AWS, Azure, DataRobot, DataBricks), model monitoring (AWS Model Monitor, MLFlow, NannyML, FiddlerAI, Arize) and related tools for model management and metadata management.

Responsibilities

• 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) to both reduce risk and also find opportunities to drive new revenue growth and innovation.
• 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.
• Must be able to perform duties with or without reasonable accommodation.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior