Machine Learning Engineer II

S&P Global's Kensho is an AI innovation hub focused on machine learning, natural language processing, data discovery, and financial generative AI applications. The Machine Learning Engineer II will develop and productionize agentic AI systems, design retrieval methods, evaluate AI-generated outputs, and build scalable solutions connecting structured and unstructured financial data to actionable insights.

Responsibilities:

• Solve unique challenges in agentic design and LLM orchestration, including context engineering, data access patterns, memory management, and evaluation of agent performance to ensure they meet user needs effectively
• Participate in all stages of the ML lifecycle, from problem framing and data exploration to model experimentation, deployment, and monitoring in production, ensuring the continuous improvement and optimization of our Agentic Systems
• Leverage unique proprietary unstructured and structured datasets, applying advanced NLP techniques to extract insights and build solutions that drive business value
• Work closely with Data, Product, Design, and Engineering teams to design and develop Agents to enhance user experiences and meet business objectives
• Collaborate closely with the ML Operations team to create automated solutions for managing the entire ML systems lifecycle, from initial technical design to seamless implementation