As a member of the Commodity Insights you will work on building and deploying ML/LLM powered products and capabilities to power natural language understanding, data extraction, information retrieval and data sourcing solutions for S&P Global Market Intelligence and our clients.
You will be responsible for the management, deployment and optimization of ML Models and pipelines while leading-by-example in a highly engaging work environment. You will work in a (truly) global team and encouraged for thoughtful risk-taking and self-initiative.
What s in it for you:
Exciting tasks and the team with own product development in the space of intelligent data solutions based on Machine Learning
Responsibilities:
Play a central role in all stages of the AI product development life cycle, including:
Designing Machine Learning systems and model scaling strategies
Research & Implement ML and Deep learning algorithms for production
Run necessary ML tests and benchmarks for model validation
Fine-tune, retrain and scale existing model deployments
Extend existing ML library s and write packages for reproducing components
Partner with business leaders, domain experts, and end-users to gain business understanding, data understanding, and collect requirements
Interpret results and present them to business leaders
Manage production pipelines for enterprise scale projects
Perform code reviews & optimization for your projects and team
Lead and mentor by example, including project scrums
