Machine Learning Engineer

April 16

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S&P Global

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S&P Global is a leading provider of data, analytics, and insights for critical business decisions, offering a wide range of services including market intelligence, ratings, commodity insights, and indices like the S&P Dow Jones Indices. The company focuses on several key areas such as sustainability, private markets, energy transition, and artificial intelligence. It provides tools and platforms like S&P Capital IQ Pro and Ratings360, as well as ESG scores and indices that guide investment decisions. S&P Global’s offerings are integral to sectors such as finance, investment, and corporate governance, aiming to enhance transparency and efficiency in the global economy.

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

10,000+ employees

Founded 1888

💸 Finance

⚡ Energy

📋 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 • Familiarity with infrastructure as code (IaC) using Terraform. • Experience in Azure or GPC cloud services • Proficiency in C# or Java • Experience with SQL and NoSQL databases • Knowledge of Machine Learning concepts • Experience with Large Language Models

🏖️ Benefits

• Health care coverage designed for the mind and body. • Generous time off helps keep you energized for your time on. • Access a wealth of resources to grow your career and learn valuable new skills. • Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. • 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. • From retail discounts to referral incentive awards—small perks can make a big difference.