Join Our Team as a Data Science / Machine Learning Engineer at S&P Global Market Intelligence

At S&P Global Market Intelligence, we are on the forefront of technological advancement and innovative data solutions. Currently, we are seeking a highly skilled Data Science / Machine Learning Engineer to specialize in Large Language Models (LLMs). This is an exciting opportunity to be part of a team that is deeply integrated with achieving cutting-edge AI solutions.

About the Role:

As a Data Science / Machine Learning Engineer, you will be pivotal in driving the development, deployment, and management of next-generation machine learning models focused on NLP and deep learning. Your role will include building, training, and deploying models on AWS using services such as Amazon SageMaker, managing models with Bedrock, and maintaining robust machine learning pipelines.

Key Responsibilities:

• Design and deploy advanced Large Language Models (LLMs) like GPT-3, BERT, and Transformer architectures to enhance product applications.
• Lead the development of machine learning pipelines, employing CI/CD practices and tools like Terraform.
• Work closely with cross-functional teams to align AI solutions with strategic business goals.
• Research and implement cutting-edge machine learning and NLP techniques to stay ahead in the industry.
• Optimize data processing and ML model management using automation and scripting languages.
• Ensure high standards of data and model quality, security, and compliance are maintained throughout the project lifecycle.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field.
• At least 5 years of experience in a technical role, including 3 years focused on data science and machine learning.
• Strong expertise in Python, ML frameworks (TensorFlow, PyTorch), and AWS cloud services.
• Proven ability in managing infrastructure as code within AWS environments using Terraform.
• Solid understanding of data modeling, big data technologies, ETL processes, and data warehousing.
• Excellent problem-solving, communication, and teamwork skills.

Why Join S&P Global?

At S&P Global, you are part of an organization that is known for its outstanding data and technology solutions that help in decision making globally. We value progress, integrity, discovery, and partnership. With us, you can expect:

• A culture focused on well-rounded wellness and health with comprehensive benefits.
• Generous flexible downtime and continuous learning opportunities.
• Commitment to family-friendly perks and employee future financial security.
• An inclusive workplace that values diversity, equity, and inclusion.

For more information on our benefits, visit our website at .

Commitment to Equality:

S&P Global is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We abide by federal laws and ensure fairness in our employment practices across all spectrums.

If this opportunity excites you, apply today to help drive progress with us and make a real impact in the world of data and technology. This role is categorized under Grade Level 10 as per internal job codes.

Location: This position is available globally across S&P Global offices. We welcome remote and on-site candidates.