Machine Learning Engineer

April 16

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S&P Global

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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.

Analytics • Credit ratings • Finance • Energy & commodities information • Intelligence

10,000+ employees

Founded 1860

💸 Finance

🏢 Enterprise

🤖 Artificial Intelligence

📋 Description

• Develop and productionize cloud-based services and full-stack applications utilizing NLP solutions, including GenAI models. • Implement and manage CI/CD pipelines to ensure efficient and reliable software delivery. • Automate cloud infrastructure using Terraform. • Write unit tests, integration tests and performance tests • Work in a team environment using agile practices • Support administration of Data Science experimentation environment including AWS Sagemaker and Nvidia GPU servers • Monitor and optimize application performance and infrastructure costs. • Collaborate with data scientists and other developers to integrate and deploy data science models into production environments • Educate others to improve and coding standards, code quality and test coverage, documentation • Work closely with cross-functional teams to ensure seamless integration and operation of services.

🎯 Requirements

• 5+ years of experience in software engineering • Proficiency in Python and JavaScript for full-stack development. • Experience in writing and maintaining high quality code – utilizing techniques like unit testing and code reviews • Strong understanding of object-oriented design and programming concepts • Strong experience with AWS cloud services, including EKS, Lambda, and S3. • Knowledge of Docker containers and orchestration tools including Kubernetes • Experience with monitoring, logging, and tracing tools (e.g., Datadog, Kibana, Grafana). • Knowledge of message queues and event-driven architectures (e.g., AWS SQS, Kafka). • Experience with CI/CD pipelines in Azure DevOps and GitHub Actions. • Experience writing front-end web applications using Javascript and React (preferred) • Familiarity with infrastructure as code (IaC) using Terraform (preferred). • Experience in Azure or GPC cloud services (preferred) • Proficiency in C# or Java (preferred) • Experience with SQL and NoSQL databases (preferred) • Knowledge of Machine Learning concepts (preferred) • Experience with Large Language Models (preferred)

🏖️ 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.