About the Role:

Grade Level (for internal use):

Job Title: Data Science / Machine Learning Engineer

Job Description:
We are looking for a seasoned Machine Learning Engineer specialized in Large Language Models (LLMs) to drive the development and deployment of cutting-edge AI solutions. The ideal candidate will have extensive experience in deep learning and NLP, specifically with advanced models such as GPT-3, BERT, Transformer architectures, and Retrieval-Augmented Generation (RAG) models. This role demands a high level of proficiency in managing the full lifecycle of model development on AWS, from building and training models using Amazon SageMaker, to deploying and hosting them on platforms like Bedrock, and maintaining applications in SageMaker Studio.

Responsibilities:

Design, build, and optimize state-of-the-art large language models and retrieval-augmented generation models for innovative product applications.

Architect and manage robust machine learning pipelines and workflows using CI/CD practices, primarily utilizing Terraform.

Collaborate with cross-functional teams including data scientists and product managers to align machine learning solutions with business objectives.

Conduct ongoing research to stay ahead of the curve in machine learning technologies and implement forward-thinking NLP techniques.

Ensure the stability and efficiency of machine learning models by leveraging Bedrock for hosting and managing deployed models.

Develop data pipelines and architectures to ETL data from various sources

Encapsulate ML model(s) into a Webservice(s)

Implement big data storage solutions like data lakes and data warehouses

Automate data processing & model management and deployment tasks using scripting and programming languages

Ensure data & model quality, security, and compliance throughout the development lifecycle

Research and implement new big data & modeling technologies and methodologies to improve data & model management

Requirements:

Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, or a related field.

Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning.

Demonstrated expertise in machine learning, deep learning, and NLP, with a strong portfolio in large language models like GPT-3, BERT, and RAG.

Advanced proficiency in Python, with hands-on experience in ML libraries and frameworks such as TensorFlow and PyTorch.

Extensive experience with AWS cloud services, specifically in deploying and managing applications and models using Amazon SageMaker and SageMaker Studio.

Proven ability in using Terraform for automating deployments and managing infrastructure as code within AWS environments.

Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and cloud native computing

Proficiency in programming languages like Python, Java, Scala, C#, SQL

Expertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databases

Knowledge of data modeling, ETL processes, and data warehousing concepts

Exceptional problem-solving abilities and teamwork skills.

Excellent communication and stakeholder engagement capabilities.

Nice to Have:

Postgraduate Certification in AI/ML.

Postgraduate Certification in DataScience

Certification in MLOps from AWS.

About S&P Global Market Intelligence

At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction.

For more information, visit www.spglobal.com/marketintelligence.

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

Diversity, Equity, and Inclusion at S&P Global:
At S&P Global, we believe diversity fuels creative insights, equity unlocks opportunity, and inclusion drives growth and innovation – Powering Global Markets. Our commitment centers on our global workforce, ensuring that our people are empowered to bring their whole selves to work. It doesn’t stop there, we strive to better reflect and serve the communities in which we live and work, and advocate for greater opportunity for all.
 

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only:  The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. 

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