The Team :
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 setting. 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

Technical Requirements:
Proven track record as a ML engineer
Expert proficiency in Python (Numpy, Pandas, Spacy, Sklearn, Pytorch/TF2, HuggingFace etc.)
Excellent exposure to large scale model deployment strategies and tools
Excellent knowledge of ML & Deep Learning domain
Solid exposure to Information Retrieval, Web scraping and Data Extraction at scale
Knowledge in AWS Technologies: Terraform, CFT, Lambda, Fargate, ECS and also in SQL, containerization a

📌 Lead Data Scientist Bengaluru
🏢 Security and Intelligence Services
📍 Bengaluru