Your role spans the full solution lifecycle - assessing client needs and data, selecting and customizing models (including Deep Learning, Generative AI, and Large Language Models), designing scalable data and DevOps & MLOps pipelines for training and production, and ensuring quality, value, and reliability of deployed systems. With more than 45,000 AI and data professionals across the company, our AI & Data practice brings together cutting-edge AI technologies, deep industry experience, strategic investment, exceptional interdisciplinary talent, and a powerful ecosystem of partners to help clients scale AI with speed and confidence.