Senior Machine Learning Engineer

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S&P Global

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1860

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

S&P Global is a leading provider of market intelligence, ratings, analytics, and benchmark indices. The company offers comprehensive insights across various domains including finance, commodities, mobility, and sustainability. Renowned for its data-driven solutions, S&P Global assists organizations in navigating complex market trends, evaluating credit risk, and understanding the implications of artificial intelligence and energy transitions. Its diverse offerings, such as S&P Global Market Intelligence, S&P Global Ratings, and S&P Dow Jones Indices, provide critical data and analytics to businesses, government entities, and investors worldwide.

📋 Description

• Develop Advanced ML Systems: Create, refine, and deploy machine learning systems that solve complex business problems and power Kensho products. • Build Retrieval-Driven AI Agents: Design AI agents that fetch, validate, and structure data from S&P datasets, ensuring answers produced by LLMs are grounded in S&P’s data universe. • Evaluate LLM-based Agents: Identify and resolve performance gaps in both online and offline settings, addressing issues such as performance, latency, memory usage, compute efficiency, and feature consistency. • Work With Domain Specific Data: Leverage proprietary structured and unstructured datasets, deep dive to have domain understanding, work with Subject Matter Experts (SMEs). • Scale ML Applications: Optimize and scale ML systems to support high demand, efficient resource utilization, and reliable production behavior. • Reduce Technical Debt: Proactively identify areas of the stack that can be improved, and propose solutions that strengthen reliability and maintainability. • Taking Initiative: Scope, plan, and execute ML initiatives that develop core capabilities across Kensho products. • Collaborate Across Teams: Work closely with Data, Product, Design, and Engineering teams to ensure smooth operations and contribute to long-term product vision. • Improve User Experiences: Partner with Product and Design to develop ML-driven functionality that enhances user workflows and aligns with business needs. • Drive the ML Lifecycle: Engage in all phases of the ML lifecycle, from problem framing and data exploration to model deployment and production monitoring, ensuring continuous improvement.

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Engineering, or a related field. • 5+ years of significant, hands-on industry experience with machine learning, natural language processing (NLP), and information retrieval systems, including designing, shipping, and maintaining production systems. • Strong proficiency in Python. • Experience reading and understanding SQL databases and writing queries for specific access patterns. • Proven experience building ML pipelines for data processing, training, inference, maintenance, evaluation, versioning, and experimentation. • Demonstrated effective coding, documentation, collaboration, and communication habits. • Strong problem-solving skills and a proactive approach to addressing challenges. • Ability to adapt to a fast-paced and dynamic work environment. • Experience working with machine learning libraries/frameworks for Large Language Model (LLM) orchestration, such as Langchain. • (Preferred) Experience working with RAG based system

🏖️ Benefits

• Health & Wellness: Health care coverage designed for the mind and body. • Flexible Downtime: Generous time off helps keep you energized for your time on. • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.