Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from Equifax Inc
You will lead the vision and strategy for AI and Data Science while developing advanced machine learning and Generative AI solutions. Responsibilities Design, develop, and implement machine learning, deep learning, and Generative AI models including LLMs, diffusion models, and GANs. Build new AI agents to drive efficiencies within the Data & Analytics ecosystem. Collaborate with data engineers to build scalable data pipelines for model training and deployment. Manage end-to-end projects, including defining technical requirements, resource planning, and analytical solution design. Coach and mentor junior and intermediate data scientists to improve technical skill sets and career development. Partner with product teams to bring new products to market using Generative AI and advanced modeling techniques. Required Skills 5+ years of data science experience in large data environments. Expert knowledge of Python, SQL, R, or SAS. 3+ years of hands-on experience with Generative AI technologies and algorithms. 2+ years of experience leading technical vision and working with senior leadership. Practical experience with LLMs, neural networks (LSTM, RNN), regression, clustering, and decision trees. Strong theoretical understanding of machine learning algorithms and simulation techniques. Bachelor’s or advanced degree in a quantitative discipline such as Engineering, Economics, Mathematics, Statistics, or Physics. Preferred Skills Background in financial services, credit, telecommunications, or utilities. Experience working with credit or fraud data. Knowledge of prompting optimization, Generative AI, and Agent development. Master’s level degree in a business-related field or MBA.
Source: Equifax Inc careers