Senior Lead - ML Engineering

About the Role:

Grade Level (for internal use):

12

The Team:
As a Senior Lead Machine Learning Engineer of the Document Platforms and AI team, you will play a critical role in building the next generation of data extraction tools, working on cutting-edge ML-powered products and capabilities that power natural language understanding, information retrieval, and data sourcing solutions for the Enterprise Data Organization and our clients. This is an exciting opportunity to shape the future of Document Platforms and AI and see your work make a real difference, all while having fun in a collaborative and engaging environment. You'll spearhead the development and deployment of production-ready AI products and pipelines, leading by example and mentoring a talented team. This role demands a deep understanding of machine learning principles, hands-on experience with relevant technologies, and the ability to inspire and guide others. You'll be at the forefront of a rapidly evolving field, learning and growing alongside some of the brightest minds in the industry. If you're passionate about AI, driven to make an impact, and thrive in a dynamic and supportive workplace, we encourage you to join us!

The Impact:

• The Document Platforms and AI team has already delivered breakthrough products and significant business value over the last 3 years.

• In this role you will be developing our next generation of new products while enhancing existing ones aiming at solving high-impact business problems.

What’s in it for you:

• Be a part of a global company and build solutions at enterprise scale

• Collaborate with a highly skilled and technically strong team

• Contribute to solving high complexity, high impact problems

Responsibilities:

• Build production ready data acquisition and transformation pipelines from ideation to deployment.

• Being a hands-on problem solver and developer helping to extend and manage the data platforms.

• Apply best practices in data modeling and building ETL pipelines (streaming and batch) using cloud-native solutions

• Technical leadership: Drive the technical vision and architecture for the extraction project, making key decisions about model selection, infrastructure, and deployment strategies.

• Model development: Design, develop, and evaluate state-of-the-art machine learning models for information extraction, leveraging techniques from NLP, computer vision (if applicable), and other relevant domains.

• Data preprocessing and feature engineering: Develop robust pipelines for data cleaning, preprocessing, and feature engineering to prepare data for model training.

• Model training and evaluation: Train, tune, and evaluate machine learning models, ensuring high accuracy, efficiency, and scalability.

• Deployment and monitoring: Deploy and maintain machine learning models in a production environment, monitoring their performance and ensuring their reliability.

• Research and innovation: Stay up-to-date with the latest advancements in machine learning and NLP, and explore new techniques and technologies to improve the extraction process.

• Collaboration: Work closely with product managers, data scientists, and other engineers to understand project requirements and deliver effective solutions.

• Code quality and best practices: Ensure high code quality and adherence to best practices for software development.

• Communication: Effectively communicate technical concepts and project updates to both technical and non-technical audiences.

What We’re Looking For:

• 8-10 years of professional software work experience, with a strong focus on Machine Learning, Natural Language Processing (NLP) for information extraction and MLOps

• Expertise in Python and related NLP libraries (e.g., spaCy, NLTK, Transformers, Hugging Face)

• Experience with Apache Spark or other distributed computing frameworks for large-scale data processing.

• AWS/GCP Cloud expertise, particularly in deploying and scaling ML pipelines for NLP tasks.

• Solid understanding of the Machine Learning model lifecycle, including data preprocessing, feature engineering, model training, evaluation, deployment, and monitoring, specifically for information extraction models .

• Experience with CI/CD pipelines for ML models, including automated testing and deployment.

• Docker & Kubernetes experience for containerization and orchestration.

• OOP Design patterns, Test-Driven Development and Enterprise System design

• SQL (any variant, bonus if this is a big data variant)

• Linux OS (e.g. bash toolset and other utilities)

• Version control system experience with Git, GitHub, or Azure DevOps.

• Excellent Problem-solving, Code Review and Debugging skills

• Software craftsmanship, adherence to Agile principles and taking pride in writing good code

• Techniques to communicate change to non-technical people

Nice to have

• Core Java 17+, preferably Java 21+, and associated toolchain

• Apache Avro

• Apache Kafka

• Other JVM based languages - e.g. Kotlin, Scala

What’s In It For You?

Our Purpose:

Progress is not a self-starter. It requires a catalyst to be set in motion. Information, imagination, people, technology–the right combination can unlock possibility and change the world.
Our world is in transition and getting more complex by the day. We push past expected observations and seek out new levels of understanding so that we can help companies, governments and individuals make an impact on tomorrow. At S&P Global we transform data into Essential Intelligence®, pinpointing risks and opening possibilities. We Accelerate Progress.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.
From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. We’re constantly seeking new solutions that have progress in mind. Join us and help create the critical insights that truly make a difference.

Our Values:
 

Integrity, Discovery, Partnership

At S&P Global, we focus on Powering Global Markets. Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.
Our benefits include: 

• 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.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Inclusive Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering an inclusive workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and equal opportunity, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

IFTECH202.2 - Middle Professional Tier II (EEO Job Group)