As a member of the EDO, Collection Platforms & AI – Cognitive Engineering team, you will work on designing and building GenAI-driven and ML-powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global. You will help define AI strategy, mentor junior team members and drive production-ready AI products and pipelines while leading by example in a highly engaging work environment.
Requirements
- Define AI roadmap, tooling choices, and best practices for model building, prompt engineering, fine-tuning, and vector retrieval systems
- Architect, develop and deploy large-scale ML and GenAI-powered products and pipelines
- Design and implement MLOps practices including CI/CD pipelines for ML models, experiment tracking, model versioning, and automated testing frameworks
- Own all stages of the data science project lifecycle, including: Identification and scoping of high-value data science and AI opportunities, Partnering with business leaders, domain experts, and end-users to gather requirements and align on success metrics, Evaluation, interpretation, and communication of results to executive stakeholders, Lead exploratory data analysis, proof-of-concepts, model benchmarking, and validation experiments for both ML and GenAI approaches
- Establish and enforce coding standards, perform code reviews, and optimize data science workflows
- Drive deployment, monitoring, and scaling strategies for models in production (including both ML and GenAI services)
- Mentor and guide junior data scientists; foster a culture of continuous learning and innovation
- Manage stakeholders across functions to ensure alignment and timely delivery
Benefits
- Health & Wellness
- Flexible Downtime
- Continuous Learning
- Invest in Your Future
- Family Friendly Perks
- Beyond the Basics