About the Role:

Grade Level (for internal use):

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 cuttingedge MLpowered 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 data transformation and see your work make a real difference all while having fun in a collaborative and engaging environment. Youll spearhead the development and deployment of productionready AI products and pipelines leading by example and mentoring a talented team. This role demands a deep understanding of machine learning principles handson experience with relevant technologies and the ability to inspire and guide others. Youll be at the forefront of a rapidly evolving field learning and growing alongside some of the brightest minds in the industry. If youre 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 highimpact business problems.

Whats 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 handson 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 cloudnative 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 stateoftheart 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 uptodate 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 nontechnical audiences.

What Were Looking For:

• 810 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 largescale 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 TestDriven 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 Problemsolving Code Review and Debugging skills

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

• Techniques to communicate change to nontechnical 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

• C# in particular .NET Core

Whats In It For You

Our Purpose:

Progress is not a selfstarter. It requires a catalyst to be set in motion. Information imagination people technologythe 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:

Were more than 35000 strong worldwideso were 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. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Were 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 worlds 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 cantake care of business. We care about our people. Thats why we provide everything youand your careerneed 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 companymatched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some bestin class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits/benefitsummaries

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.